Sub Title : ADVANCED DIGITAL COMMUNICATION 4 · PDF fileFred Halsall, ―Multimedia...

BOS SEP 2016

1

Sub Title : ADVANCED DIGITAL COMMUNICATION

Sub code: DCN11 No. of Credits: 4=4 : 0 : 0 (L-T-P) No. of lecture hours/week :

4 hours

Exam Duration :

3 hours

CIE + SEE = 50+50 =100

Total No. of Contact Hours : 52

Course objectives:

1. To learn digital modulation techniques, power spectra and ISI

2. To study convolutional coding and decoding for channel coding

3. To understand Communication through band limited linear filter channels and

synchronisation

4. To study Spread spectrum digital communication

5. To learn fading multipath channels in digital communication

UNIT

No

Syllabus Content

No. of

Teaching

Hours

1 Digital modulation techniques: Digital modulation formats, Coherent

binary modulation techniques, Coherent quadrature – modulation

techniques, Non-coherent binary modulation techniques, Comparison of

binary and quaternary modulation techniques, M-ray modulation

techniques, Power spectra, Bandwidth efficiency, M-array modulation

formats viewed in the light of the channel capacity theorem, Effect of inter

symbol interference, Bit verses symbol error probabilities,

Synchronization, Applications.

10

2 Coding techniques: Convolutional encoding, Convolutional encoder

representation, Formulation of the convolutional decoding problem,

Properties of convolutional codes: Distance property of convolutional

codes, Systematic and nonsystematic convolutional codes, Performance

Bounds for convolutional codes, Coding gain, Other convolutional

decoding algorithms, Sequential decoding, Feedback decoding, Turbo

codes.

10

3 Communication through band limited linear filter channels: Optimum

receiver for channel with ISI and AWGN, Linear equalization, Decision -

feedback equalization, Reduced complexity ML detectors, Iterative

equalization and decoding - Turbo equalization.

Adaptive equalization: Adaptive linear equalizer, adaptive decision

feedback equalizer, Adaptive equalization of Trellis - coded signals,

Recursive least square algorithms for adaptive equalization, Self recovering

(blind) equalization.

12

BOS SEP 2016

2

Note 1: Units 3 and Unit 5 will have internal choice.

Note 2: Two assignments are evaluated for 5 marks: Assignment – 1 from units 1 and 2.

Assignment - 2 from units 3, 4 and 5.

Course Outcomes:

CO1. Student will be able to understand the fundamentals as well as advanced concepts in digital

communications.

CO2. Student will be able to quantify the bit rate that is theoretically needed to perform source coding

of continuous-valued signals with some given maximum distortion.

CO3. Student will be able to design scalar and vector quantizes and linear predictive coding schemes

for practical signals and they will be able to understand.

CO4. Student will be able to design the signals for band limited channels and its characters.

CO5. Understand different spread spectrum signals and its synchronization

Cos Mapping with POs

CO1 PO1, PO2, PO3

CO2 PO1, PO2

CO3 PO1, PO2

CO4 PO1, PO2

CO5 PO1, PO2, PO8

TEXT BOOK:

1. John G. Proakis and Masoud Salehi, ―Digital Communications‖, Tata McGraw-Hill,

5th

Edition, 2014.

2. Simon Haykin, ―Digital Communications‖, John Wiley India Pvt., Ltd, 2008.

REFERENCE BOOKS:

1. K. Sam Shanmugam, ―Digital and Analog Communication Systems‖, John Wiley

India Pvt. Ltd., 2012.

2. Simon Haykin, ―An introduction to Analog and Digital Communication‖, John Wiley

India Pvt. Ltd., 2006.

3. Bernard Sklar, ―Digital communications‖, Pearson education, 2009.

4 Spread spectrum signals for digital communication: Model of spread

spectrum digital communication system, Direct sequence spread spectrum

signals, Frequency hopped spread spectrum signals, CDMA, Time hopping

SS, Synchronization of SS systems.

10

5 Digital communication through fading multipath channels:

Characterization of fading multipath channels, the effect of signal

characteristics on the choice of a channel model, Frequency nonselective,

Slowly fading channel, Diversity techniques for fading multipath channels,

Digital signals over a frequency selective, Slowly fading channel, Coded

wave forms for fading channels, Multiple antenna systems.

10

BOS SEP 2016

3

Sub Title : ANTENNA DESIGN AND SYNTHESIS

Sub Code:DCN12 No. of Credits: 4=4 : 0 : 0 (L-T-P) No. of lecture hours/week :

4 hours

Exam Duration :

3 hours

CIE + SEE = 50+50 =100


Course Objectives:

1. To become familiar with the different parameters and Resonant antennas

2. To understand the concepts of arrays and broadband antennas .

3. To study the concept of parabolic aperture antennas

4. To understand and Analyse different synthesis methods

5. To analyze and study different method of moments.

Unit

No

Syllabus Content

No. of

Teaching

Hours

1 Antenna Fundamentals and Definitions: Radiation mechanism - over

view, Electromagnetic Fundamentals, Solution of Maxwell’s Equations for

Radiation Problems, Ideal Dipole, Radiation Patterns, Directivity and Gain,

Antenna Impedance, Radiation Efficiency.

Resonant Antennas: Dipole antennas, Yagi - Uda Antennas, Micro strip

Antenna.

10

2 Arrays: Array factor for linear arrays, uniformly excited, equally spaced

Linear arrays, pattern multiplication, non- uniformly excited -equally

spaced linear arrays, multidimensional arrays, phased arrays, feeding

techniques.(Problems).

Broad band Antennas: Traveling - wave antennas, Helical antennas,

Biconical antennas, sleave antennas, and Principles of frequency -

independent Antennas, spiral antennas and Log - Periodic Antennas.

(Problems)

10

3 Aperture Antennas: Techniques for evaluating Gain, reflector antennas -

Parabolic reflector antenna principles, Axi -symmetric parabolic reflector

antenna, offset parabolic reflectors, dual reflector antennas, Gain

calculations for reflector antennas, feed antennas for reflectors, field

representations, matching the feed to the reflector.

12

4 Antenna Synthesis: Formulation of the synthesis problem, synthesis

principles, line sources shaped beam synthesis, linear array shaped beam

synthesis — Fourier Series, Woodward — Lawson sampling method,

comparison of shaped beam synthesis methods, low side lobe narrow main

10

BOS SEP 2016

4




Course Outcomes :

CO1. Student will be able to apply the fundamentals to design different types of antennas.

CO2. Student will be able to design various broad band antennas.

CO3. Student will be able to able to analyze different antenna reflectors and their parameters.

CO4. Student will be able to synthesize antenna problems using mathematical models.

CO5. Student will be able to analyze the different algorithms MoM, FTFD, etc

COs Mapping with POs

CO1 PO1,PO2,PO3,PO4,PO8




CO5 PO1,PO2,PO3,PO4,PO7,PO8

TEXT BOOKS:

1. Warren L Stutzman and Gary A Thiele, ―Antenna Theory and Design‖, 2nd edition, Wiley

India Pvt Ltd., 2012.

2. C A Balanis, ―Antenna Theory: Analysis and Design‖, Wiley India Pvt Ltd, 3rd edition,

2009.

REFERENCE BOOKS:

1. Ahmad S Khan, Ronald J Marhefka and John D Kraus, ―Antennas and Wave

Propagation‖, 4th

Edition, McGraw-Hill Education, 2014.

2. Sachidananda et al, "Antennas and Propagation", Pearson Education, 2007.

3. J R James, P S Hall and C Wool ―Microstrip Antennas: Theory and Design‖, Peter

Peregrinns UK.

beam synthesis methods Dolph Chebyshev linear array, Taylor line source

method. (Problems)

5 Method of Moments: Introduction to method of Moments, Pocklington’s

integral equation, integral equations and Kirchoff’s Networking Equations,

Source Modeling Weighted residuals formulations and computational

consideration. (Problems) Study and the programmes on FEKO Software.

10

https://www.flipkart.com/author/ahmad-s-khan

https://www.flipkart.com/author/ronald-j-marhefka

https://www.flipkart.com/author/john-d-kraus

BOS SEP 2016

5

Sub Title : WIRELESS COMMUNICATION

Sub Code: DCN13 No. of Credits : 4= 4 : 0 : 0 (L-T-P) No. of lecture hours/week : 4

Exam Duration : 3

hours

CIE + SEE = 50+50 =100 Total No. of Contact Hours :

52

Course Objectives :

1. To Study and analyze various wireless channels and their models.

2. To study and understand various diversity techniques like antenna diversity, frequency

diversity.

3. To Study and understand different channel capacities.

4. To Study the concepts of MIMO and their channels.

5. To Study and understand MIMO parameter architectures

UNIT

No

Syllabus Content

No of

Hours

1 Wireless channel: physical modeling for wireless channels, input/output

model of wireless channel, time and frequency response, statistical

models.

12

2 Point to point communication: detection in rayleigh fading channel,

time diversity, antenna diversity, frequency diversity, impact of channel

uncertainity.

10

3 Capacity of wireless channels: AWGN channel capacity, resources of

AWGN channel, Linear time invariant gaussian channels, capacity of

fading channels.

10

4 MIMO 1 – Spatial multiplexing and channel modeling: multiplexing

capability of MIMO channels, physical modeling of MIMO channels,

modeling MIMO fading channels.

10

5 MIMO II – Capacity and multiplexing architectures: V-BLAST, fading

MIMO channel, receiver architectures, slow fading MIMO channel, D-

BLAST. MIMO III – Diversity multiplexing tradeoff, universal code

design.

10




Course Outcomes:

CO1.Student will be able to analyze various wireless channels and their models.

CO2Student will be able to study various diversity techniques.

CO3.Student will be able to Study different channel capacities.

CO4.Student will be able to Study the concepts of MIMO and their channels.

CO5. Student will be able to study MIMO parameter architectures

BOS SEP 2016

6


CO1 PO1, PO2,PO3,PO5,PO7


CO3 PO1, PO2,PO3,PO5,PO7,PO8



TEXT BOOKS:

1. David Tse, P. Viswanath, ―Fundamentals of wireless communication‖,

Cambridge, 2006.

2. Andreas Molisch, ―Wireless communications‖, Wiley India Pvt Ltd., 2009.

REFERENCES BOOKS:

1. William C Y Lee, ―Mobile Communication Engineering: Theory and

applications‖, Tata McGraw-Hill, 2008.

2. Upen Dalal, ―Wireless communication‖, Oxford Higher Education, 2009

3. Mark D Ciampa and Jorge Olenewa, ―Wireless Communications‖, Cengage,

2007.

BOS SEP 2016

7

Sub Title : MULTIMEDIA COMMUNICATION

Sub Code: DCN14 No. of Credits : 4= 4 : 0 : 0 (L-T-P) No. of lecture hours/week :

4

Exam Duration : 3

hours

CIE + SEE = 50+50 =100 Total No. of Contact

Hours : 52

Course Objectives :

1. To Study and understand multimedia and their representation, Multimedia networks and

applications with QoS.

2. To study compression principles and different coding techniques of Text and Image

Compression.

3. To study compression principles and different coding techniques of Audio and Video

compression.

4. To study in detail about MPEG-4, MPEG-7 And features of JPEG.

5. To study the relevant Multimedia protocols.

UNIT

No

Syllabus Content

No of

Hours

1 Basics of Multimedia and Information Representation: Introduction,

multimedia information representation, multimedia networks, multimedia

applications, media types, communication modes, network types, multipoint

conferencing, network QoS application QoS, digital principles, text, images,

audio, and video.

12

2 Compression for Multimedia: Compression principles, text compression,

image compression, audio compression, DPCM, ADPCM, APC, LPC, video

compression, video compression principles, H.261, H.263, MPEG, MPEG-1,

MPEG-2, andMPEG-4.

10

3 Detailed Study of MPEG 4: Coding of audiovisual objects, MPEG 4 systems,

MPEG 4 audio and video, profiles and levels. MPEG 7standardization process

of multimedia content description, MPEG 21 multimedia framework,

Significant features of JPEG 2000, MPEG 4 transport across the Internet.

10

4 Synchronization: Notion of synchronization, presentation requirements,

reference model for synchronization, Synchronization specification,

Multimedia operating systems, Resource management, process management

techniques.

10

5 Layered video coding, error resilient video coding techniques, multimedia

transport across IP networks and relevant protocols such as RSVP, RTP,

RTCP, DVMRP, multimedia in mobile networks, multimedia in broadcast

networks.

10

Note 1: Unit 4 and Unit 5 will have internal choice.



BOS SEP 2016

8

Course Outcomes :

CO1. Student will be able to Study multimedia networks and their applications with QoS.

CO2. Student will be able to analyze text, images, and audio and video compression techniques.

CO3. Student will be able to Study various multimedia standards.

CO4. Student will be able to analyze different reference models for synchronization and process

management techniques.

CO5. Student will be able to Study of various video coding techniques.

TEXT BOOKS:

1. Fred Halsall, ―Multimedia Communications‖, Pearson education, 2001. 2. K R Rao, Zoran S. Bojkovic, Dragorad A Milovanovic, ―Multimedia Communication

Systems‖, Pearson Education, 2004.

REFERENCE BOOKS

1. John Billamil, Louis Molina, ―Multimedia: An Introduction‖, PHI, 2002.

2. K. R. Rao, Zoran S. Bojkovic, Dragorad A. Milovanovic, ―Introduction to Multimedia

Communication Systems‖, Wiley India, 2014.

3. Nian-Ze Li and Mark S. Drew, ―Fundamentals of Multimedia,‖ PHI, 2007.

4. Raif steinmetz, Klara Nahrstedt, ―Multimedia: Computing, Communications and

Applications‖, Pearson education, 2002.


CO1 PO1, PO5

CO2 PO6

CO3 PO8

CO4 PO2, PO5

CO5 PO2, PO5

BOS SEP 2016

9

Sub Title : REAL TIME OPERATING SYSTEM

SubCode:DCN151 No. of Credits : 4= 4 : 0 : 0 (L-T-P) No. of lecture hours/week : 4

Exam Duration : 3

hours

CIE + SEE = 50+50 =150 Total No. of Contact Hours :

52

Course Objectives :

1. To study the basic concepts related to Real-Time Embedded Systems and system resource.

2. To learn concepts relating to Processing and I/O Resource.

3. To understand concepts of Multi resource Services, Soft Real-Time Services.

4. To study Concepts related to Debugging Components.

5. To study concepts of Performance Tuning, High availability and Reliability Design.




UNIT

No

Syllabus Content

No of

Hours

1 Introduction to Real-Time Embedded Systems: Brief history of Real Time

Systems, A brief history of Embedded Systems. System Resources: Resource

Analysis, Real-Time Service Utility, Scheduling Classes, The Cyclic Executive,

Scheduler Concepts, Preemptive Fixed Priority Scheduling Policies, Real-Time

OS, Thread Safe Reentrant Functions

10

2 Processing: Preemptive Fixed-Priority Policy, Feasibility, Rate Monotonic least

upper bound, Necessary and Sufficient feasibility, Deadline –Monotonic Policy,

Dynamic priority policies. I/O Resources: Worst-case Execution time,

Intermediate I/O, Execution efficiency, I/O Architecture.

10

3 Multi resource Services: Blocking, Deadlock and livestock, Critical sections to

protect shared resources, priority inversion. Soft Real-Time Services: Missed

Deadlines, QoS, Alternatives to rate monotonic policy, Mixed hard and soft real-

time services.

10

4 Debugging Components: Exceptions assert, Checking return codes, Single-step

debugging, kernel scheduler traces, Test access ports, Trace ports, Power-On self

test and diagnostics, External test equipment, Application-level debugging. 10

5 Performance Tuning: Basic concepts of drill-down tuning, hardware – supported

profiling and tracing, Building performance monitoring into software, Path length,

Efficiency, and Call frequency, Fundamental optimizations. High availability and

Reliability Design:

Reliability and Availability, Similarities and differences, Reliability,

Reliable software, Available software, Design trade offs, Hierarchical

applications for Fail-safe design.

12

BOS SEP 2016

10

Course Outcomes :

CO1: Understand concepts of Real-Time Embedded Systems.

CO2: Evaluate the Processing and I/O resources.

CO3: Analyze Multi resource services, soft Real time services.

CO4: Apply Debugging components for programming.

CO5: Apply concepts of Performance tuning, Reliability design.


CO1 PO1,PO2,PO4,PO5

CO2 PO2,PO4,PO5




TEXT BOOKS:

1. Sam Siewert, ―Real-Time Embedded Systems and Components‖, Cengage Learning India

Edition, 2007.

REFERENCE BOOKS/WEBLINKS:

1. Myke Predko ―Programming and Customizing the PIC microcontroller‖, 3rd Edition,

TMH, 2008

2. ―Programming for Embedded Systems‖, Dreamtech Software Team, John Wiley, 2008

3. Carig Hollabaugh, ―Embedded Linux: Hardware, Software and Interfacing‖, Pearson

Education, 2009.

BOS SEP 2016

11

Sub Title : ADVANCED COMPUTER NETWORKS

SubCode:DCN152 No. of Credits : 4= 4 : 0 : 0 (L-T-P) No. of lecture hours/week : 4

Exam Duration :

3 hours

CIE + SEE = 50+50 =100 Total No. of Contact Hours : 52

Course Objectives : 1. To study the various Telephone networks, multiplexing techniques and Access systems.

2. To study the different LANs.

3. To understand concepts of Scheduling schemes and ATM network protocols and their addressing

routing.

4. To Study of various network protocols and traffic management models.

5. To Analyze problems in various modelling methods in networks and different routing algorithms

UNIT

No

Syllabus Content

No of Hours

1 Introduction: Computer network, Telephone networks, Networking

principles. Multiple access: Multiplexing - FDM, TDM, SM.

10

2 Local Area networks: Ethernet, Token ring, FDDI, Switching -

Circuit switching, Packet switching, Multicasting. 10

3 Scheduling: Performance bounds, Best effort disciplines, Naming

and addressing, Protocol stack, SONET, SDH. ATM Networks: AAL, Virtual circuits, SSCOP, Internet -

Addressing, Routing, Endpoint control.

12

4 Internet Protocol: IP, TCP, UDP, ICMP, HTTP. Traffic management: Models, Classes, Scheduling.

10

5 Control of Networks: QoS, Static and dynamic routing, Markov

chains, Queuing models, Bellman Ford and Dijkstra's algorithm,

Window and rate congestion control, Large deviations of a queue and

network, Open and closed loop flow control, Control of ATM

networks.

10




BOS SEP 2016

12

Course Outcomes :

CO1: Student will be able to Study various telephone networks, multiplexing techniques and

Access systems.

CO2. Student will be able to Study different LANs and Scheduling schemes.

CO3. Student will be able to Able to understand ATM network protocols and their addressing

routing.

CO4. Student will be able to Study of various network protocols and traffic management

models.

CO5. Student will be able to Analyze problems in various modeling methods in networks and

different routing algorithms







TEXT BOOKS:

1. J Walrand and P Varaya, "High Performance Communication Networks", Harcourt Asia

(Morgan Kaufmann), 2000.


1. S Keshav, ―An Engineering approach to Computer Networking‖, Pearson Education, 1997.

2. A Leon-Garcia, and I Widjaja, "Communication Network: Fundamental Concepts and Key

Architectures", Tata McGraw-Hill, 2000. 3. J F Kurose, and K W Ross, "Computer Networking: A top down approach featuring the

Internet", Pearson Education, 2001.

BOS SEP 2016

13

Sub Title : ADVANCED RADAR ENGINEERING

Sub Code:DCN153 No of Credits : 4=4:0:0 (L-T-P) No of lecture hours/week : 4

Exam Duration : 3 hours CIE+SEE = 50 + 50 =100 Total No. of Contact Hours: 52

Course Objectives

1. To become familiar with fundamentals of RADAR.

2. To gain knowledge in depth knowledge about the different types of RADAR and their

operations

3. Understanding the signal detection in RADAR and various detection techniques.

4. To become familiar with RADAR navigation techniques.

5. To become familiar with satellite navigation and hybrid navigation.

Unit

No

Syllabus No of

hours

1 Introduction: Range equation, Transmitter and Receiver parameters, and Model,

Types of Radars. 10

2 Radar Signal transmission: Transmitted waveforms (time and frequency

domains), Energy, Radar signal analysis using autocorrelation and Hilbert

transform, Pulse compression, Clutter: Properties, reduction, coding and chirp.

12

3 Radar antenna: Reflector types, Sidelobe control, Arrays - Array factor and

beamwidth, Synthetic aperture, adaptive antennas. Propagation effects:

Multipath, Low altitude, Ionosphere..

10

4 Radar Networks: Matched filter response and noise consideration. Data

Processing: FFT, Digital MTI, Tracking, Plot track. 10

5 Applications: Secondary surveillance, Multistatic, Over the Horizon, Remote

sensing and Meteorological radars. 10

Note 1 : Unit number 3 & 4 will have internal choice



Course Outocomes :

1. To become familiar with fundamentals of RADAR

2. To gain in depth knowledge about the different types of RADAR and their operations.

3. Need for signal detection in RADAR and various detection techniques.

4. To become familiar with RADAR navigation techniques

5. To become familiar with satellite navigation and hybrid navigation.

BOS SEP 2016

14


CO1 PO2, PO5

CO2 PO2, PO4,PO5

CO3 PO5

CO4 PO2,PO8

CO5 PO5

TEXT BOOKS :

1. Merrill I Skolnik, "Radar handbook", 3rd

Edition, Mc Graw-Hill, 2008.

REFERENCES

1. M J B Scanlan, "Modern Radar Techniques", Macmillan publications, 1987.

2. Peyton Z Peebles, "Radar principles", 1st Edition, Wiley-Interscience, 2008.

BOS SEP 2016

15

Course Objectives:

1. To become familiar with Linear Equations.

2. To learn and Compute the concept of Vector Spaces.

3. To learn Compute and analyze the characteristics of Linear Transformations.

4. To understand the concepts of different Canonical forms.

5. To learn, apply and Compute the Inner product spaces and Symmetric and Quadratic forms.

UNIT

No.

Syllabus Content

No. of

Hours

Teaching

1 Linear Equations: Fields; system of linear equations, and its solution sets;

elementary row operations and echelon forms; matrix operations; invertible

matrices, LU-factorization.

9

2 Vector Spaces: Vector spaces; subspaces; bases and dimension; coordinates;

summary of row-equivalence; computations concerning subspaces. 9

3 Linear Transformations: Linear transformations; algebra of linear

transformations; isomorphism; representation of transformations by

matrices; linear functionals; transpose of a linear transformation.

10

4 Canonical Forms: Characteristic values; annihilating polynomials; invariant

subspaces; direct-sum decompositions; invariant direct sums; primary

decomposition theorem; cyclic bases; Jordan canonical form. Iterative

estimates of characteristic values.

12

5 Inner Product Spaces: Inner products; inner product spaces; orthogonal sets

and projections; Gram-Schmidt process; QR-factorization; least-squares

problems; unitary operators.

Symmetric Matrices and Quadratic Forms: Digitalization; quadratic forms;

constrained optimization; singular value decomposition.

12




Course Outcomes :

CO1. Student will be able to understand the basics definitions of with Linear Equations related

terms.

CO2. Student will be able to understand,learn and Compute the concept of Vector Spaces.

CO3. Student will be able to Compute and analyze the characteristics of Linear Transformations

Sub Title: Linear Algebra

Sub Code: DCN154 No. of Credits : 4:0:0 (L:T:P) No. of lecture hours/week : 4

Exam Duration : 3 CIE + SEE = 50 + 50 =100 Total No. of Contact Hours : 52

BOS SEP 2016

16

CO4. Student will be able to understand the concepts and methods in Canonocal forms.

CO5. Student will be able to learn, apply and Compute the Inner product spaces and Symmetric

and Quadratic forms.

TEXT BOOKS:

1. C Lay, ―Linear Algebra and its Applications,‖ 3rd

Edition, Pearson Education (Asia)

Pte. Ltd, 2005.


1. Gilbert Strang, "Linear Algebra and its Applications‖, 3rd

Edition, Thomson Learning

Asia, 2003.

2. Kenneth Hoffman and Ray Kunze, "Linear Algebra," 2nd

edition, Pearson

Education (Asia) Pte. Ltd/ Prentice Hall of India, 2004.

3. Bernard Kolman and David R. Hill, "Introductory Linear Algebra with Applications‖,

Pearson Education (Asia) Pte. Ltd, 7th

Edition, 2003.



CO2 PO1,PO3,PO4,PO8




BOS SEP 2016

17

Course Objectives :

6. To become familiar with basic probability theory.

7. To learn random variables and random processes.

8. To analyze the characteristics of random variables and random process.

9. To apply random variables and random process to communication systems and networks.

10. To learn properties of probability, random variables, and random process.

UNIT

No.

Syllabus Content

No. of

Hours

Teaching

1 Introduction to Probability Theory: Experiments, Sample space,

Events, Axioms, Assigning probabilities, Joint and conditional, Baye's

theorem, Independence, Discrete random variables, Random variables,

Distributions, Density functions: CDF, PDF, Gaussian random variable,

Uniform, Exponential, Laplace, Gamma, Erlang, Chi-square, Rayleigh,

Rician and Cauchy types of random variables.

10

2 Operation on a Single Random Variable: Expected value, EV of

random variables, EV of functions of random variables, Central moments,

Conditional Expected values. 10

3 Characteristics Functions: Probability generating functions, Moment

generating function, Engineering applications, Scalar quantization, Entropy

and source coding. 10

4 Pairs of Random Variables: Joint PDF, Joint probability mass

functions, Conditional distribution, Density and mass functions, EV

involving pairs of random variables, Independent random variables,

Complex random variables. Multiple random variables: Joint and

conditional PMF, CDF, PDF, EV involving multiple random variables,

Gaussian random variable in multiple dimension, Linear prediction.

12

5 Random Process: Definition and characterization, Mathematical tools

for studying random processes, Stationery and Ergodic random processes,

Properties of ACF. Example Processes: Markov processes, Gaussian

processes, Poisson processes, Computer networks, Telephone networks.

10




Sub Title: Probability & Random Process

Sub Code: DCN155 No. of Credits : 4:0:0 (L:T:P) No. of lecture hours/week : 4

Exam Duration : 3 CIE+ SEE = 45 + 50 =100 Total No. of Contact Hours : 52

BOS SEP 2016

18

Course Outcomes :

CO1. Student will be able to understand the basics definitions of probability and related terms.

CO2. Student will be able to understand the different random variables and various operations

on it.

CO3. Student will be able to work on various pairs of random variables and its application in

real world.

CO4. Student will be able to analyze the different multiple random variables and their

engineering applications.

CO5. Student will be able to understand the random process and few examples

TEXT BOOKS:

1. S L Miller and D C Childers, "Probability and Random Processes: Application to

Signal Processing and Communication", Academic press/Elsevier, 2004.

REFERENCE BOOKS:

4. A Papoullis and S U Pillai, "Probability, Random Variables and Stochastic

Processes‖, McGraw Hill, 2002

5. Peyton Z Peebles, "Probability, Random Variables and Random Signal Principles",

TMH, 4th

Edition, 2007.

6. H Stark and Woods, "Probability, Random Processes and Application", PHI, 2001.


CO1 PO1, PO3, PO4, PO8





BOS SEP 2016

19

NOTE: Experiments can be done using Hardware tools such as Spectrum analyzers, Signal

sources, Power Supplies, Oscilloscopes, High frequency signal sources, fiber kits,

Measurement benches, DSP processor kit, FPGA kit, Logic analyzers, PC setups, etc.

Software tools based experiments can be done using, FEKO simulator, NS2 simulator,

MATLAB, etc.

1. Matlab/C implementation of to obtain the radiation pattern of an antenna.

2. Experimental study of radiation pattern of different antennas.

3. Measurement techniques of radiation characteristics of an antenna.

4. Impedance measurements of Horn/Yagi/dipole/Parabolic antennas.

5. Determine the directivity and gains of Horn/ Yagi/ dipole/ Parabolic antennas.

6. Determination of the modes transit time, electronic timing range and sensitivity of

klystron source.

7. Antenna resonance and gain bandwidth measurements.

8. Study of digital modulation techniques using CD4051 IC

9. Conduct an experiment for Voice and data multiplexing using optical fiber.

10. Determination of VI characteristics of GUNN diode, and measurement of guide wave

length, frequency, and VSWR.

11. Determination of coupling coefficient and insertion loss of directional couplers and

Magic tree.

12. Use NS2 simulator to check for the transmission power in the Wireless network.

13. Using NS2 measure the losses in the channel.

14. Using NS2 implement the propagation model both indoor and out door.

15. Using NS2 measure the performance analysis of different models.

16. Using NS2 implement the CDMA model.

Sub Title : ADVANCED COMMUNICATION & NETWORKING LAB

Sub Code: DCNL16 No. of Credits : 0 : 0 : 2 (L:T:P) No. of lecture hours/week : 3

Exam Duration : CIE + SEE = 50 + 50 =100

Course objectives :

1. To apply theoretical knowledge to demonstrate radiation pattern of different antenna

2. To study digital modulation techniques

3. To conduct the experiments on optical communication systems

4. To conduct the experiments on microwave benches

5. To simulate wireless scenarios using NS2 and QualNET

BOS SEP 2016

20

17. Using NS2 measure the Latency, BW and efficiency of the given Wireless model.

Course Outcomes :

CO1. Student will be able to apply theoretical knowledge to demonstrate radiation pattern of

different antenna

CO2. Student will be able to implement digital communication techniques

CO3. Student will be able to conduct the experiments on optical communication systems

CO4. Student will be able to conduct the experiments on microwave benches

CO5. Student will be able to simulate wireless scenarios using NS2 and QualNET


CO1 PO1,PO2,PO3,PO4

CO2 PO1,PO2,PO3,PO4,PO5PO6,PO8

CO3 PO1,PO2,PO3,PO4

CO4 PO1,PO2,PO3,PO4

CO5 PO1,PO2,PO3,PO4,PO5,

PO6,PO8

\

BOS SEP 2016

21

Course Objectives :

1. To study the fundamental principles and evolution of optical communication.

2. To understand the concepts of components and modulation and Demodulation required for

optical networks.

3. To know and understand the power multiplexing methods required in network scenarios.

4. To understand the routing techniques in wavelength routing networks.

5. To know the different types of control and Managements in optical networks.

UNIT

No.

Syllabus Content

No. of

Hours

Teaching

1 INTRODUCTION TO OPTICAL NETWORKS: Telecommunication networks, First generation optical networks,

Multiplexing techniques, Second generation optical networks, System

and network evolution. Non linear effects SPM, CPM, four wave

mixing, Solitons.

08

2 Components: Couplers, isolators and Circulators, Multiplexes and

filters,Gratings, Optical amplifiers.

Modulation - Demodulation: Formats, Ideal receivers, Practical

detection receivers, Optical preamplifiers, Noise considerations, Bit

error rates, Coherent detection.

14

3 Transmission system engineering: System model, Power penalty,

Transmitter, Receiver, Different optical amplifiers, Dispersion.

Optical Networks: Client layers of optical layer, SONET/SDH,

Multiplexing, layers, Frame structure, ATM functions, Adaptation

layers, Quality of Service (QoS) and flow control, ESCON, HIPPL.

08

4 Wavelength routing networks: Optical layer, Node design, Network

design and operation, routing and wavelength assignment architectural

variations.

WDM network elements: Optical line terminal, Optical line

amplifiers, Optical cross connectors, WDM network design, Cost trade

offs, LTD and RWA problems, Routing and wavelength assignment,

Wavelength conversion, Statistical dimensioning model.

08

5 Control and management: Network management functions,

management framework, Information model, management protocols,

Layers within optical layer performance and fault management, Impact

of transparency, BER measurement, Optical trace, Alarm management,

Configuration management.

14

Sub Title : OPTICAL COMMUNICATION & NETWORKING

SubCode: DCN21 No. of Credits : 4:0:0(L:T:P) No. of lecture hours/week : 4

Exam Duration : 3 CIE + SEE = 50 +50=100 Total No. of Contact Hours : 52

BOS SEP 2016

22




Course Outcomes :

CO1. Student will be able to decide which technologies are best suited to the demands ofnetwork.

CO2. Student will be able to assess right to deploy new technology.

CO3. Student will be able to Problem solving skills and critical thinking in the discipline of optical

networks.

CO4. Student will be able to new employment opportunities in the technological sector in

association with industries.

CO5. Student will be able to understand different management functions in optical communications.

TEXT BOOK:

1. Kumar Sivarajan and Rajiv Ramaswamy, ―Optical networks: A practical perspective‖,

Morgan Kauffman, 1998.

2. Rajiv Ramswami and K. N. Sivarajan, "Optical Networks", Morgon Kauffman

Publishers, 2000. REFERENCE BOOKS:

1. Biswajit Mukherjee, ―Optical Communication Networks‖ TMG 1998.

2. Ulysees Black, ―Optical Networks‖, Pearson Education, 2007.

3. John M. Senior, "Optical Fiber Communication", Pearson Edition, 2000.

4. Gerd Kaiser, "Optical fiber Communication Systems", John Wiley, New York, 1997.

5. P. E. Green, "Optical Networks", Prentice Hall, 1994.


CO1 PO1,PO2,PO4

CO2 PO1,PO2,PO4,PO5

CO3 PO1,PO2,PO4,PO8



BOS SEP 2016

23

Course Objectives :

1. To introduce signals, systems, time and frequency domain concepts, frequency domain

sampling, DFT its properties and linear filtering.

2. To study and design analog and digital IIR filters and FIR filters.

3. To study windows and frequency sampling method for.

4. To learn the architecture features, computational blocks, bus architecture, addressing

capability of DSP processors.

5. Ability to write a ALP for a DSP algorithms and implement the same.

UNIT

No.

Syllabus Content

No. of

Teaching

Hours

1 Introduction and Discrete Fourier transforms: Signals,

Systems and processing, Classification of signals, The concept of

frequency in continuous time and discrete time signals, Analog to

digital and digital to analog conversion, Frequency-domain sampling.

The discrete Fourier transform, Properties of the DFT, Linear

filtering methods based on the DFT. [Text 1]

10

2 Design of digital filters: General considerations, Design of IIR

filters from analog filters, Frequency transformations.

Design of FIR filters: Symmetric and anti-symmetric FIR filter,

Design of linear- phase FIR filters using windows, Frequency

sampling method, design of equiripple linear phase FIR filters. [Text

1]

11

3 Adaptive filter: Applications of adaptive filters, Adaptive direct

form FIR filters, The LMS algorithm, Adaptive direct form filters,

RLS algorithm. [Text 1]

9

4 ARCHITECTURES FOR PROGRAMMABLE DIGITAL

SIGNALPROCESSORS:

Introduction, Basic Architectural Features, DSP Computational

Building Blocks, Bus Architecture and Memory, Data Addressing

Capabilities, Address Generation Unit, Programmability and

Program Execution, Features for External Interfacing. [Text 2]

11

5 PROGRAMMABLE DIGITAL SIGNAL PROCESSORS:

Introduction, Commercial Digital Signal-processing Devices, Data

Addressing Modes of TMS32OC54xx., Memory Space of

TMS32OC54xx Processors, Program Control. Detail Study of

TMS320C54X & 54xx Instructions and Programming, On- Chip

peripherals, Interrupts of TMS32OC54XX Processors, Pipeline

11

Sub Title : MODERN DIGITAL SIGNAL PROCESSING AND ARCHITECTURE

Sub Code: DCN22 No. of Credits:4= 4:0:0(L:T:P) No. of lecture hours/week :

4 hours

Exam Duration : 3

hours

CIE + SEE = 50+50 =100 Total No. of Contact Hours : 52

BOS SEP 2016

24

Operation of TMS32OC54xx Processor. Introduction to

TMS320C6713 Floating point DSP Processor.

IMPLEMENTATION OF BASIC DSP ALGORITHMS:

Introduction, The Q-notation, FIR Filters, IIR Filters, Interpolation

and Decimation Filters.

Implementation Of FFT Algorithms (one example in each case) [Text

2]




Course Outcomes :

CO1. Student will be able to analyze and implement different mathematical models on

signals, sampling in frequency domain and linear filtering.

CO2. Student will be able to analyze and design the different digital filters.

CO3. Student will be able to able to analyze and implement adaptive filters.

CO4. Ability to analyze architecture and instruction set of fixed and floating point DSP

processor.

CO5. Student will be able to able to implement Basic DSP Algorithms.







TEXT BOOKS:

1. John G Proakis and Dimitris G Manolakis, "Digital Signal Processing", 4th

Edition,

Pearson India, 2007.

2. Avatar Singh and S. Srinivasan ―Digital Signal Processing‖, Thomson Learning,

2004.


1. S K Mitra, "Digital signal processing: A computer based approach", 3rd Edition, Tata

Mc Graw-Hill, 2007.

2. Peter Pirsch, ―Architectures for Digital Signal Processing‖, Weily India Pvt Ltd,

2010.

BOS SEP 2016

25

Sub Title : CRYPTOGRAPHY & NETWORK SECURITY

Sub Code: DCN23 No. of Credits:4:0:0 (L:T:P) No. of lecture hours/week :

4 hours

Exam Duration : 3 hours CIE + SEE = 50+ 50 =100 Total No. of Contact Hours:

52

Course Objectives :

1. To study different cryptographic techniques that provides information and network

security.

2. To explain the fundamentals of encryption techniques and standards.

3. To understand the fundamental concepts of the theory of encryption and decryption.

4. To develop the concepts of public key, key management, and digital signatures.

5. To apply the principles of cryptography for public networks.

UNIT

No.

Syllabus Content

No. of Hours

Teaching

1 Classical Encryption Techniques: Symmetric Cipher Model,

Substitution Techniques, Transposition Techniques, Rotor

Machines, Steganography.

8

2

Block Ciphers and the Data Encryption Standard: Traditional

Block Cipher Structure, The Data Encryption Standard, A DES

Example, The Strength of DES, Block Cipher Design Principles.

Advanced Encryption Standard: Finite Field Arithmetic, AES

Structure, AES Transformation Functions, AES Key Expansion,

and an AES Example with implementation.

Block Cipher Operation: Multiple Encryption and Triple DES,

Electronic Codebook, Cipher Block Chaining Mode, Cipher

Feedback Mode, Output Feedback Mode, Counter Mode, XTS-

AES Mode for Block-Oriented Storage Devices.

12

3

Public Key Cryptography and RSA: Principle of Public Key

Crypto systems, RSA Algorithm.

Other Public Key Crypto systems: Diffie-Hellman Key

Exchange, Elgamal Cryptographic System, Elliptic Curve

Arithmetic, Elliptic Curve Cryptography,

12

4

Digital Signatures: Introduction, Elgamal Digital Signature

Scheme, Schnorr Digital Signature Scheme, NIST Digital

Signature Algorithm, Elliptic Curve Digital Signature Algorithm,

RSA-PSS Digital Signature Algorithm.

Key Management and Distribution: Symmetric Key distribution

using symmetric encryption, Symmetric Key distribution using

asymmetric encryption, Distribution of Public Keys, X.509

Certificates.

10

BOS SEP 2016

26




Course Outcomes :

CO1. Student will be able to become familiar with the cryptographic techniques that provide

information and network security.

CO2.Student will be able to impart knowledge on Encryption techniques, Design Principles

and Modes of operation.

CO3. Student will be able to analyze a given system with respect to security of the system.

CO4.Student will be able to understand the Key Management techniques.

CO5. Student will be able to create an understanding of Authentication functions the manner

in which Message Authentication


CO1 P02, P02, P05, PO6

CO2 PO1,PO6,PO7,PO8

CO3 PO6, PO7,PO4,PO8

CO4 PO5,PO7,P08

CO5 PO4,PO5,PO7,P08

TEXT BOOKS:

1. William Stallings, ―Cryptography and Network Security – Principles and Practice,‖

6th

Edition, Pearson India, Inc, 2014.


1. C. Kauffman, R. Perlman, and M. Spencer, ―Network Security - Private

Communication in a Public World,‖ 2nd

Edition, Pearson India, Inc, 2002.

2. Atul Kahate, ―Cryptography and Network Security,‖ 3rd

Edition, Tata-McGraw-Hill,

2012.

5

IP Security: IP Security Overview, IP Security Policy,

Encapsulating Security Payload, Combining security associations,

Internet Key Exchange, Cryptographic Suites.

Transport Level Security: Web Security Considerations, Secure

Sockets Layer, Transport Layer Security, HTTPS, Secure Shell

(SSH).

Wireless Network Security: Wireless Security, Mobile Device

Security, IEEE 802.11 Wireless LAN Overview, IEEE 802.11i

Wireless LAN Security.

10

BOS SEP 2016

27

Course Objectives :

1. To study fundamentals of Wireless communication networks, their issues and standards.

2. To study WBAN technology, its architecture, design issues, protocols and applications

3. To study WPAN technology, its architecture, design issues, protocols, components and

applications.

4. To study WLAN components, design requirements, WMAN architecture, protocols and

applications.

5. To study WWANs, cellular networks, Satellite Network, Applications, ad-hoc networks, Sensor

network.

UNIT

No.

Syllabus Content

No. of

Hours

Teaching

1 Review of fundamentals of wireless communication and Networks:

Wireless communication channel specifications, Wireless

communication systems, Wireless networks, Switching technology,

Communication problems, Wireless network issues and standards.

10

2 Wireless body area networks: Properties, Network architectures,

Components, Design issues, Network Protocols, WBAN technologies

and WBAN applications.

10

3 Wireless personal area networks: Network Architectures, WPAN

Components, Requirements of WPAN devices, WPAN Technologies

and protocols, WPAN applications, Bluetooth and Zigbee.

8

4 Wireless LANs: Network components, design requirements,

Architectures, IEEE-802.11x, WLAN protocols, 802.11p and

applications. WMANs, IEEE-802.16: Architectures, Components,

WiMax mobility support, Protocols, Broadband networks and

applications.

12

5 WWANs, cellular networks, Satellite Network, Applications. Wireless

ad-hoc networks: Mobile ad-hoc networks, Sensor network, Mesh

networks, VANETs, Research issues in Wireless networks.

12




Sub Title : WIRELESS & MOBILE NETWORKS

Sub Code: DCN24 No. of Credits:4= 4 : 0 : 0 (L-

T-P)

No. of lecture hours/week : 4

Exam Duration : 3 hours CIE + SEE = 50+50 =100 Total No. of Contact Hours : 52

BOS SEP 2016

28

Course Outcomes :

CO1: Have complete knowledge fundamentals of wireless communication and Networks and

their applications.

CO2: Identify the different wireless networks like WBAN, WMAN, WLAN, WMAN,

WMAN and understand their architecture, and their components.

CO3: Understand and interpret the protocols and standards in different Wireless

communication and networks.

CO4: Analyze the various design issues in WMAN, WLAN, WMAN, WMAN.

CO5:Determine the applications of Wireless communication networks, Adhoc networks and

Sensor Networks.


CO1 PO2, PO5

CO2 PO2, PO4,PO5

CO3 PO5

CO4 PO2,PO8

CO5 PO5

TEXT BOOKS:

1. S S Manvi, and M. S. Kakkasageri, "Wireless and Mobile network concepts and

Protocols", Wiley India Pvt Ltd, 2010.

REFERENCE BOOKS: 1. P Kaveh, Krishnamurthy, "Principles of Wireless network: A unified approach", PHI,

2006.

2. Iti Saha Mitra, "Wireless communication and network: 3G and Beyond", McGraw Hill,

2009.

3. Ivan Stojmenovic, "Handbook of Wireless networks and Mobile Computing", Wiley,

2009.

4. P Nicopolitidis, M. S. Obaidat, et al, "Wireless Networks", Wiley, 2009.

5. Yi-Bing Lin, Imrich Chlamtac, "Wireless and Mobile Network Architectures", Wiley,

2009.

6. Mullet, "Introduction to Wireless Telecommunication Systems and Networks", Cengage,

2009.

BOS SEP 2016

29

Course Objectives :

1. To study IIR and FIR digital filters implementation.

2. To study DSP implementation of continuous wave modulation schemes.

3. To study implementation of FM and PRBS using DSP.

4. To study implementation of PAM for transmit filter using DSP.

5. To understand QAM system.

UNIT

No.

Syllabus Content

No. of

Hours

Teaching

1 Introduction to the course: Digital filters, Discrete time convolution

and frequency responses, FIR filters - Using circular buffers to

implement FIR filters in C and using DSP hardware, Interfacing C and

assembly functions, Linear assembly code and the assembly optimizer.

IIR filters - realization and implementation, FFT and power spectrum

estimation: DTFT window function, DFT and IDFT, FFT, Using FFT

to implement power spectrum.

10

2 Analog modulation scheme: Amplitude Modulation - Theory,

generation and demodulation of AM, Spectrum of AM signal. Envelope

detection and square law detection. Hilbert transform and complex

envelope, DSP implementation of amplitude modulation and

demodulation.

DSBSC: Theory generation of DSBSC, Demodulation, and

demodulation using coherent detection and Costas loop.

Implementation of DSBSC using DSP hardware.

SSB: Theory, SSB modulators, Coherent demodulator, Frequency

translation, Implementation using DSP hardware.

12

3 Frequency modulation: Theory, Single tone FM, Narrow band FM,

FM bandwidth, FM demodulation, Discrimination and PLL methods,

Implementation using DSP hardware.

Digital Modulation scheme: PRBS, and data scramblers: Generation of

PRBS, Self synchronizing data scramblers, Implementation of PRBS

and data scramblers.

10

4 RS-232C protocol and BER tester: The protocol, error rate for binary

signalling on the Gaussian noise channels, Three bit error rate tester and

implementation.

PAM and QAM: PAM theory, baseband pulse shaping and ISI,

Implementation of transmit filter and interpolation filter bank.

Simulation and theoretical exercises for PAM, Hardware exercises for

10

Sub Title : COMMUNICATION SYSTEM DESIGN USING DSP ALGORITHM

Sub Code: DCN251 No. of Credits: (L-T-P) 4= 4 :

0 : 0



BOS SEP 2016

30

PAM.

5 QAM fundamentals: Basic QAM transmitter, 2 constellation

examples, QAM structures using pass band shaping filters, Ideal QAM

demodulation, QAM experiment. QAM receivers-Clock recovery and

other frontend sub-systems. Equalizers and carrier recovery systems.

10




Course Outcomes :

CO1. Understand various Analog and Digital modulation techniques. CO2. Apply DSP concepts to implement modulation methods.

CO3. Analyze RS-232C protocol and BER tester.

CO4. Analyze PAM and QAM transmission techniques.

CO5. Apply signal processing methods for communication systems.


CO1 PO1, PO2, PO3

CO2 PO1, PO2, PO4

CO3 PO1, PO2, PO8

CO4 PO1, PO2, PO3

CO5 PO1, PO2, PO4

TEXT BOOKS:

1. Robert O Cristi, "Modern Digital signal processing", Cengage Publishers, India, 2003.

2. E C Ifeachor, and B. W. Jarvis,"Digital signal processing: A Practitioner's approach",

Second Edition, Pearson Education, India, 2002. REFERENCE BOOKS: 1. S K Mitra, "Digital signal processing: A computer based approach", 3rd Edition, Tata

McGraw-Hill, 2007. 2. John G Proakis, and Dimitris G Manolakis, "Digital Signal Processing", 4th Edition,

Prentice Hall, 2007.

BOS SEP 2016

31

Course Objectives :

1. To expose the students to the fundamentals of embedded system design.

2. To study in Hardware Software Co-Design.

3. To design and develop embedded hardware and firmware.

4. To study the Cortex M3 Programming, Exceptions Programming, Advanced Programming

Features.

5. To impart knowledge on ARM Cortex-M3 to enable students to acquire more awareness

on real time embedded applications.

UNIT No. Syllabus Content

No. of

Hours

Teaching

1 Typical Embedded System: Core of the Embedded System,

Memory, Sensors and Actuators, Communication Interface,

Embedded Firmware, Other System Component, Characteristics and

Quality Attributes of Embedded Systems.

9

2 Hardware Software Co-Design and Program Modeling:

Fundamental Issues in Hardware Software Co-Design, Computational

Models in Embedded Design, Introduction to Unified Modeling

Language, Hardware Software Trade-offs.

Embedded Hardware, Firmware Design and Development: EDA

Tools, How to Use EDA Tool, Schematic Design – Place wire, Bus,

port, junction, creating part numbers, Design Rules check, Bill of

materials, Netlist creation, PCB Layout Design – Building blocks,

Component placement, PCB track routing. Embedded Firmware

Design Approaches and Embedded Firmware Development

Languages.

13

3 ARM- 32 bit Microcontroller family: Cortex M3 Basics

Architecture of ARM Cortex-M3, Operation modes and states,

Registers, Special Registers, Data type, Memory format, Instruction

Set Summary.

10

4 ARM-32 bit Microcontroller family: Interrupt Controllers,

Exceptions and Programming: Nested Vector Interrupt Controller,

Interrupt behavior of ARM Cortex-M3, Cortex M3 Programming,

Exceptions Programming, Advanced Programming Features and

Memory Protection unit.

10

5 The Embedded System Development Environment: The Integrated

Development Environment (IDE), Types of Files Generated on Cross 10

Sub Title : ADVANCED EMBEDDED SYSTEM DESIGN

Sub Code: DCN252 No. of Credits: (L:T:P)

4= 4 : 0 : 0 (L-T-P)


Exam Duration : 3 hours CIE +Assignment + SEE =

CIE + SEE = 50+50 =100


BOS SEP 2016

32

compilation, Disassembler/ Decompiler, Simulators, Emulators and

Debugging, Target Hardware Debugging, Boundary Scan, Case

studies.




Course Outcomes :

1. Able to understand the fundamental concepts of embedded system.

2. Able to design suitable embedded systems for real world applications.

3. Indulging ARM Cortex-M3 concepts in real time scenarios.


CO1 PO4, PO5, PO6



CO4 PO4, PO5, PO6


Text Books / References:

1. Shibu K V, ―Introduction to Embedded Systems‖, Tata McGraw Hill Education Private

Limited, 2009

2. ―Cortex M3 Technical Reference Manual,‖ by ARM.

3. James K Peckol, ―Embedded Systems – A contemporary Design Tool‖, John Weily,

2008.

BOS SEP 2016

33

Course Objectives :

1. To study the basic concepts of java programming and its programming environment.

2. To apply object oriented programming concepts in Java.

3. To understand concepts of packages and interfaces, & graphics programming.

4. To understand and deploy exceptional handling, swings and applets.

5. To design and implement multithreaded programming, networking concepts, data base

programming in Java and also to learn the JavaBeans components.


No. of

Hours

Teaching

1 Introduction: An Introduction to Java and Java Applications,

The Java Programming Environment, Fundamental Programming

Structures in Java.

10

2 Core Java: Objects and Classes, Inheritance . 10

3 Interfaces and Inner Classes, Graphics Programming 10

4 Event Handling, User Interface Components with Swing,

Deploying Applets and Applications, Exceptions and Debugging,

Streams and Files, Generic Programming.

12

5 Advanced Java: Multithreading, Collections, Networking,

Database Programming, JavaBeans Components, Security. 10




Course Outcomes :

CO 1: Understand the elementary concepts of java programming and its programming

environment.

CO 2: Apply the Object Oriented Programming concepts in Java

CO 3: Programming using packages and interfaces concepts along Graphics.

CO 4: Creating Applets and deploy exceptional handling and swings.

CO 5: Designing and implementing multithreaded programming, apply java in networking

concepts and understand JavaBeans concepts.

Sub Title : JAVA TECHNOLOGY

Sub Code: DCN253 No. of Credits:

4= 4 : 0 : 0 (L-T-P)



BOS SEP 2016

34


CO1 PO2, PO3,PO4

CO2 PO2, PO3,PO4

CO3 PO2, PO3,PO4

CO4 PO2, PO3,PO4

CO5 PO2, PO3,PO4,PO5

TEXT BOOKS:

1. Cay S Horstmann, ―Core Java 2, Volume I and II, VII Edition‖, Pearson Education,

2005.

REFERENCES:

1. Herbert Schildt, ―The Complete Reference – Java 2, 5th

Edition‖, Tata McGraw-Hill

2002.

2. Bruce Eckel, ―Thinking in Java Java‖, 3rd

Edition, Pearson Education, 2004.

BOS SEP 2016

35

Course Objectives :

1. To Study the basics of Multirate systems.

2. To understand the different filter banks.

3. To work on reconstruction of filter banks

4. To analyze the cosine modulated filter banks

5. To understand the wavelet transforms with few examples.


No. of

Hours

Teaching

1 Fundamentals of Multi-rate Systems: Basic multi-rate

operations, interconnection of building blocks, poly-phase

representation, multistage implementation, applications of multi-

rate systems, special filters and filter banks.

10

2 Maximally decimated filter banks: Errors created in the QMF

bank, alias-free QMF system, power symmetric QMF banks, M-

channel filter banks, poly-phase representation, perfect

reconstruction systems, alias-free filter banks, tree structured filter

banks, trans-multiplexers.

10

3 Para-unitary Perfect Reconstruction Filter Banks: Lossless

transfer matrices, filter bank properties induced by

paraunitariness, two channel Para-unitary lattices, M-channel FIR

Para-unitary QMF banks, transform coding.

10

4 Linear Phase Perfect Reconstruction QMF Banks: Necessary

conditions, lattice structures for linear phase FIR PR QMF banks,

formal synthesis of linear phase FIR PR QMF lattice. Cosine Modulated Filter Banks: Pseudo-QMF bank and its

design, efficient poly-phase structures, properties of cosine

matrices, cosine modulated perfect reconstruction systems.

12

5 Wavelet Transform: Short-time Fourier transform, Wavelet

transform, discrete-time Ortho-normal wavelets, continuous time

Ortho-normal wavelets.

10

Note 1: Internal choice is from Unit 3 and Unit 4



Sub Title : MULTIRATE AND FILTER BANKS

Sub Code:DCN254 No. of Credits: (L:T:P)

4= 4 : 0 : 0 (L-T-P)



BOS SEP 2016

36

Course Outcomes :

CO1. Student will be able to understand the basics of Multirate systems.

CO2. Student will be able to understand the different filter banks.

CO3. Student will be able to work on reconstruction of filter banks

CO4. Student will be able to analyze the cosine modulated filter banks

CO5. Student will be able to understand the wavelet transform with few examples.


CO1 PO1,PO3,PO4,PO8

CO2 PO1,PO3,PO4,PO8

CO3 PO1,PO3,PO4,PO8

CO4 PO1,PO3,PO4,PO8

CO5 PO1,PO3,PO4,PO8

TEXT BOOKS:

1. P P Vaidyanathan, ―Multirate Systems and Filter Banks", Pearson Education (Asia)

Pte. Ltd, 2004.

REFERENCES:

1. Gilbert Strang and Truong Nguyen, "Wavelets and Filter Banks", Wellesley-

Cambridge Press, 1996.

2. N. J. Fliege, "Multirate Digital Signal Processing‖, John Wiley & Sons, USA, 2000

BOS SEP 2016

37

List of laboratory Experiments - Modern Digital Signal Processing using MATLAB

1. Question based on response of LTI systems to different inputs. A LTI system is defined by

the difference equation y[n]=x[n]+x[n+1]+x[n+2].

(a) Determine the impulse response of the system and sketch it.

(b) Determine the output y[n] of the system when the input is x[n]=u[n].

(c) Determine the output of the system when the input is a complex exponential (E.g.

x[n]=2*exp(j0.26n)).

2. Question on design of simple digital filter using the relationship between pole and zeros

and the frequency response of the system.

Design a simple digital FIR filter with real coefficient to remove a narrowband i.e.,

sinusoidal) disturbance with frequency fo=50Hz. Let fs=300Hz be the sampling frequency.

(a) Determine the desired zeros and poles of the filter.

(b) Determine the filter coefficients with the gain K=1.

(c) Sketch the magnitude of the frequency response.

3. Question on simple digital filtering using the relationship between pole and zeros and the

frequency response of the system.

Design an IIR filter with real coefficient with same specifications mentioned in Q2 and repeat

the steps (a) to (c).

4. Question to understand the effect of time domain windowing

Generate a signal with two frequencies x(t)=3 Cos(2Pi f1*t)+2 Cos(2Pi f2*t) sampled at

fs=8kHz. Let f1=1kHz and f2=f1+'A" and the overall data length be N=256points.

(a) From theory, determine the minimum value of 'A' necessary to distinguish between the

two frequencies.

Sub Title : MODERN DSP LAB

Sub Code: DCNL26 No. of Credits : 0 : 0 : 2 (L:T:P) No. of lecture hours/week :

3

Exam Duration : CIE + SEE = 50 + 50 =100

Course objectives :

1. To apply theoretical knowledge to demonstrate signal processing concepts using

software and hardware.

2. To implement signal processing concepts using DSP Processors.

3. To conduct the experiments on different digital filters

4. To compare DCT and DFT for signal analysis

5. To apply frequency transformation and analyze signals.

BOS SEP 2016

38

(b) Verify this result experimentally, Using the rectangular window, look at the DFT with

several values of 'A' so that you verify the resolution.

(c) repeat part (b) using a hamming window. How did the resolution change?

5. Comparison of DFT and DCT (in terms of energy compactness)

Generate the sequence x[n]=n-64 for n=0, ...127.

(a) Let X[k] = DFT{x[n]}. For various values of L, set to zero "high frequency coefficients"

X[64-l]= ....X[64]= ......X[64+L]=0 and take the inverse DFT. Plot the results.

(b) Let XDCT[k]=DCT(x[n]). For the same values of L, set to zero "high frequency

coefficient" XDCT [127-L]= ....XDCT[127]. Take the inverse DCT for each case and

compare the reconstruction with the previous case.

6. Filter design: design a discrete low pass filter with the specification given below:

Sampling frequency =2kHz, Passband edge = 260Hz.

Stop band edge = 340Hz, Max. pass band attenuation=0.1dB.

minimum stop band attenuation = 30dB.

Use the following design methodologies:

Hamming windowing and Kaiser windowing,

Applying bilinear transformation to a suitable Butterworth filter. Compare the obtained filters

in terms of performance (accuracy in meeting specifications) and computational

complexity).

List of experiments to be done using the DSP processor

1. Write an ALP to obtain the response of a system using linear convolution whose input and

impulse response are specified.

2. Write an ALP to obtain the impulse response of the given system, given the difference

equation.

3. Design of equiripple filters.

4. Applications of frequency transformation in filter design.

5. Computation of FFT when N is not a power of 2.

6. Sampling rate conversion and plot of spectrum.

7. Synthesis of select dual tone multi frequency using 6713 processor.

8. Fourier Transform and its inverse Fourier transform of an Image.

BOS SEP 2016

39

Course Outcomes :

CO1. Student will be able to apply theoretical knowledge to demonstrate signal

processing concepts using software.

CO2. Student will be able to implement signal processing concepts using DSP

Processors.

CO3. Student will be able to conduct the experiments on different digital filters

CO4. Student will be able to compare DCT and DFT

CO5. Students will be able to apply frequency transformation and analyze signals.


CO1 PO1,PO2,PO3,PO4

CO2 PO1,PO2,PO3,PO4, PO8

CO3 PO1,PO2,PO3,PO4

CO4 PO1,PO2,PO3,PO4

CO5 PO1,PO2,PO3,PO4, PO8

BOS SEP 2016

40



Assignment - 2 from units 3 and 4.

Sub Title: RESEARCH METHODOLOGY

Sub code:

DCNRM27

No. of Credits: 2=2 : 0 : 0 (L-T-P) No. of lecture hours/week :

2 hours

Exam Duration :

3 hours

CIE + SEE = 50+50 =100


Course objectives:

1. To have a basic understanding of the underlying principles of quantitative and qualitative

research.

2. To identify the overall process of designing a research study from its inception to its report.

3. To choose the most appropriate research method to address a particular research question.

4. To gain overview of a range of quantitative and qualitative approaches to data analysis.

5. To learn to write research report.

UNIT

No

Syllabus Content

No. of

Teaching

Hours

1 Overview of Research

Research and its types, identifying and defining research problem and

introduction to different research designs. Essential constituents of

Literature Review. Basic principles of experimental design, Primary data

and Secondary Data, methods of primary data collection, classification of

secondary data, designing questionnaires and schedules.

8

2 Sampling Methods

Probability sampling: simple random sampling, systematic sampling,

stratified sampling, cluster sampling and multistage sampling. Non-

probability sampling: convenience sampling, judgment sampling, quota

sampling. Sampling distributions

6

3 Processing and analysis of Data

Statistical measures and their significance: Central tendencies, variation,

skewness, Kurtosis, time series analysis, correlation and regression,

Testing of Hypotheses: Parametric (t and Chi Square).

6

4 Essential of Report writing and Ethical issues:

Significance of Report Writing, Different Steps in Writing Report, Layout

of the Research Report, Ethical issues related to Research, Plagiarism and

self- Plagiarism, Publishing.

6

BOS SEP 2016

41

Course Outcomes:

CO1: Student will be able to describe a range of quantitative and qualitative research designs and

identify the advantages and disadvantages associated with these designs.

CO2: Students will be able to choose appropriate quantitative or qualitative method to collect data.

CO3: Students will be able to analyze and test the given data using appropriate methods.

CO4: Students will be able to design an appropriate mixed-method research study to answer a

research question.

CO5. Students will be able to write the research report.


CO1 PO4, PO7, PO8

CO2 PO4, PO7, PO8

CO3 PO4, PO7, PO8

CO4 PO4, PO7, PO8

CO5 PO4, PO7, PO8

TEXT BOOK:

1. Kothari C.R., Research Methodology Methods and techniques by, New Age

International Publishers, 3rd

Edition, 2013.

REFERENCE BOOKS:

1. Krishnaswami K N, Sivakumar A I and Mathirajan M, ―Management Research

Methodology‖, Pearson Education, 2006.

2. Levin R I and Rubin D S, Statistics for Management, 7th

Edition, Pearson Education,

2008.

BOS SEP 2016

42

Course Objectives :

1. To learn the technologies and challenges of Wireless Sensor Networks.

2. To study the architecture of node and networks.

3. To understand various protocols of Wireless Sensor Networks.

4. To learn the topology control and positioning of nodes.

5. To get familiarized with different platforms and tools needed for Wireless Sensor

Networks.


No. of

Hours

Teaching

1 OVERVIEW OF WIRELESS SENSOR NETWORKS

Challenges for Wireless Sensor Networks, Enabling Technologies For

Wireless Sensor Networks. 10

2

ARCHITECTURES

Single-Node Architecture - Hardware Components, Energy

Consumption of Sensor Nodes, Operating Systems and Execution

Environments, Network Architecture - Sensor Network Scenarios,

Optimization Goals and Figures of Merit, Gateway Concepts.

12

3

NETWORKING SENSORS

Physical Layer and Transceiver Design Considerations, MAC Protocols

for Wireless Sensor Networks, Low Duty Cycle Protocols And Wakeup

Concepts - S-MAC. The Mediation Device Protocol, Wakeup Radio

Concepts, Address and Name Management, Assignment of MAC

Addresses, Routing Protocols- Energy-Efficient Routing, Geographic

Routing.

10

4

INFRASTRUCTURE ESTABLISHMENT

Topology Control, Clustering, Time Synchronization, Localization and

Positioning, Sensor Tasking and Control.

10

5

SENSOR NETWORK PLATFORMS AND TOOLS

Sensor Node Hardware – Berkeley Motes, Programming Challenges,

Node-level software platforms, Node-level Simulators, State-centric

programming.

10




Sub Title : WIRELESS SENSOR NETWORKS

Sub Code: DCN41 No. of Credits: 4= 4 : 0 : 0

(L-T-P)



BOS SEP 2016

43

Course Outcomes :

CO1. Learnt the technologies and challenges of Wireless Sensor Networks.

CO2. Understood the architecture of sensor node and networks.

CO3. Understood various protocols of Wireless Sensor Networks.

CO4. Learnt the topology control and positioning of nodes.

CO5. Studied the different platforms and tools for Wireless Sensor Networks.


CO1 PO1, PO2, PO5

CO2 PO1, PO2, PO4

CO3 PO1, PO2, PO5

CO4 PO1, PO2

CO5 PO1, PO2, PO6, PO7, PO8

TEXT BOOKS:

1. Holger Karl and Andreas Willig, ―Protocols And Architectures for Wireless Sensor

Networks‖ John Wiley, 2005.

2. Feng Zhao and Leonidas J. Guibas, ―Wireless Sensor Networks- An Information

Processing Approach", Elsevier, 2007.

REFERENCE BOOKS:

1. Anna Hac, ―Wireless Sensor Network Designs‖, John Wiley, 2003.

2. Kazem Sohraby, Daniel Minoli, and Taieb Znati, ―Wireless Sensor Networks

Technology, Protocols and applications‖, Wiley Publications, 2013.

3. K Akkaya and M. Younis, ―A survey of routing protocols in wireless sensor

networks‖, Elsevier Ad Hoc Network Journal, Vol. 3, no. 3, pp. 325—349.

BOS SEP 2016

44

Course Objectives :

1. To Study of basic definitions of algebra and linear block codes and their properties

2. To Study of different cyclic codes and operation.

3. To Analyse and compute the BCH codes and levels of majority logic decoder

4. Analyze and Design the encoding, decoding process of convolution codes and turbo codes.

5. To Analyze different error correcting techniques.

Sub Title : ERROR CONTROL CODING

Sub Code: DCN421 No. of Credits:

4= 4 : 0 : 0 (L-T-P)

No. of lecture hours/week :

4 hours


UNIT

No.

Syllabus Content

No. of

Teaching

Hours

1 Introduction to Algebra: Groups, Fields, Binary Field Arithmetic, Construction

of Galois Field GF (2m

) and its basic properties, Computation using Galois Field

GF (2m

) Arithmetic.

Linear Block Codes: Generator and Parity check Matrices, Encoding circuits,

Syndrome and Error Detection, Minimum Distance Considerations, Error

detecting and Error correcting capabilities, Standard array and Syndrome

decoding, Decoding circuits, Hamming Codes, Reed – Muller codes, The (24,

12) Golay code, Product codes and Interleaved codes

10

2 Cyclic Codes: Introduction, Generator and Parity check Polynomials, Encoding

using Multiplication circuits, Systematic Cyclic codes – Encoding using Feed

back shift register circuits, Generator matrix for Cyclic codes, Syndrome

computation and Error detection, Meggitt decoder, Error trapping decoding,

Cyclic Hamming codes, The (23, 12) Golay code, Shortened cyclic codes.

12

3 BCH Codes: Binary primitive BCH codes, Decoding procedures,

Implementation of Galois field Arithmetic, Implementation of Error correction.

Non – binary BCH codes: q – ary Linear Block Codes, Primitive BCH codes

over GF (q), Reed – Solomon Codes, Decoding of Non – Binary BCH and RS

codes: The Berlekamp - Massey Algorithm.

Majority Logic Decodable Codes: One – Step Majority logic decoding, one –

step Majority logic decodable Codes, Two – step Majority logic decoding,

Multiple – step Majority logic decoding.

12

4 Convolutional Codes: Encoding of Convolutional codes, Structural properties,

Distance properties, Viterbi Decoding Algorithm for decoding, Soft – output

Viterbi Algorithm, Majority logic decoding

10

BOS SEP 2016

45




Course Outcomes :

CO1. Student will be able to Study of basic definitions of algebra and linear block codes and

their properties

CO2. Student will be able to Study of different cyclic codes and operations on it.

CO3. Student will be able to Study of BCH codes and levels of majority logic decoder.

CO4. Student will be able to Analyze the encoding decoding process of convolution codes and

turbo codes.

CO5. Student will be able to Analyze different error correcting techniques.


CO1 PO1,PO2,PO4

CO2 PO1,PO2,PO4,PO5

CO3 PO1,PO2,PO4,PO5


CO5 PO1,PO2,PO5,PO8

TEXT BOOKS:

1. Shu Lin and Daniel J. Costello, Jr. ―Error Control Coding‖, Pearson / Prentice Hall,

Second Edition, 2004.

REFERENCE BOOKS:

1. Blahut, R E ―Theory and Practice of Error Control Codes‖ Addison Wesley, 1984.

2. Johansson R and Zigan girov k.s ―Fundamentals of convolution codes‖ IEEE press1999.

3. F J Mac Williums and N.J.A Slone, The theory of Error Control Codes , North

Holland,1997.

4. Peterson W W and Weldon E J ―Error Control Codes‖, MIT Press, Cambridge,

Massachussets, 1972.

5. Satyanarayana P.S, ―Concepts of Information Theory and Coding‖, Dynaram

Publications, 2005.

Concatenated Codes & Turbo Codes: Single level Concatenated codes,

Multilevel Concatenated codes, Soft decision Multistage decoding, Concatenated

coding schemes with Convolutional Inner codes, Introduction to Turbo coding

and their distance properties, Design of Turbo codes.

5

Burst – Error – Correcting Codes: Burst and Random error correcting codes,

Concept of Inter – leaving, cyclic codes for Burst Error correction – Fire codes,

Convolutional codes for Burst Error correction.

08

BOS SEP 2016

46

Course Objectives :

1. To study the basic concepts related to Transport layer TCP sockets Client/Server.

2. To learn concepts relating to SCTP Client/Server.

3. To understand concepts of Advanced Sockets, Advanced I/O Functions.

4. To study Concepts related to Unix Domain Protocols, Key Management, and Multicasting.

5. To study concepts of Advanced UDP Sockets, Advanced SCTP Sockets.

UNIT

No.

Syllabus Content

No. of

Hours

Teaching

1 Introduction and Elementary Socket: Introduction Transport Layer

Sockets Introduction Elementary TCP Sockets TCP Client/Server

Example

10

2 Elementary SCTP Sockets SCTP Client/Server Example Name

and Address Conversions 10

3 Advanced Sockets: IPv4 and IPv6 Interoperability Daemon

Processes and the inetd Superserver Advanced I/O Functions

10

4 Unix Domain Protocols Nonblocking I/O ioctl Operations Routing

Sockets Key Management Sockets Broadcasting Multicasting 10

5 Advanced UDP Sockets Advanced SCTP Sockets Out-at-Band Data

Signal-Driven I/O Threads IP Options Raw Sockets Data link Access

Client/Server Design Alternatives

12




Course Outcomes :

CO1: Understand Elementary Socket TCP Client/Server with example.

CO2: Evaluate the Elementary SCTP Socket ,SCTP Client/Server Example

CO3: Analyze Advanced Sockets also IPv4 and IPv6 Interoperability, inetd Superserver.

CO4: Apply Unix Domain Protocols for programming..

CO5: Apply concepts of Advanced UDP sockets, Advanced SCTP Sockets for programming.

Sub Title : NETWORK PROGRAMMING

Sub Code: DCN422 No. of Credits: (L:T:P)

4= 4 : 0 : 0 (L-T-P)



BOS SEP 2016

47

TEXT BOOKS:

1. W Richard Stevens, Bill Fenner, and Andrew M Rudoff: ―UNIX Network

Programming‖. 3rd

Edition, PHI Learning , 2010.


1. Barry Nance: ―Network Programming in C‖, PHI, 2002

2. Bob Quinn, Dave Shute: ―Windows Socket Network Programming‖, Pearson

Education, 2003.

3. W Richard Stevens: ―UNIX Network Programming‖. 2nd

Edition, PHI Learning,

2009.


CO1 PO1,PO2,PO4,PO5

CO2 PO1,PO2,PO4,PO5

CO3 PO1,PO2,PO4,PO5



BOS SEP 2016

48

Course Objectives :

1. To understand various WiMAX standards.

2. To analyze frequency utilisation in WiMAX systems.

3. To analyze physical layer and OFDM.

4. To Study of Quality of Service management.

5. To Study antenna technology in WiMAX.


No. of

Hours

Teaching

1

WiMAX Genesis and framework: 802.16 standard, WiMAX

forum, Other 802.16 standards, Protocol layer topologies - Layers

of WiMAX, CS,MAC CPS, Security layer, Physical layer,

Reference model, topology.

12

2 Frequency utilization and system profiles: Cellular concept,

Licensed and unlicensed frequencies, Fixed WiMAX system

profiles, Mobile WiMAX profiles.

10

3 WiMAX physical layer: OFDM transmission, SOFDMA,

subcarrier permutation, 802.16 transmission chains, Channel

coding, Turbo coding, Burst profile.

10

4 WiMAX MAC and QoS: CS layer, MAC function and frames,

Multiple access and burst profile, Uplink bandwidth allocation

and request mechanisms, Network entry and QoS management.

10

5 Radio engineering considerations: Radio resource management,

Advance antenna technology in WiMAX, MBS. WiMAX

architecture, Mobility handover and power save modes, Security.

10




Course Outcomes :

CO1. Student will be able understand various WiMAX standards.

CO2. Student will be able analyze frequency utilisation in WiMAX systems..

CO3. Students will be able to analyze physical layer and OFDM.

CO4. Student will implement of Quality of Service management in broad networks

CO5. Student will be able to design antenna technology in WiMAX.

Sub Title : BROADBAND WIRELESS NETWORKS

Sub Code: DCN423 No. of Credits: 4= 4 : 0 : 0

(L-T-P)

No. of lecture hours/week :

4 hours


BOS SEP 2016

49







TEXT BOOKS:

1. Loutfi Nuyami, "WiMAX - Technology for broadband access", John Wiley, 2007.

REFERENCE BOOKS:

1. Yan Zhang, Hsia-Hwa Chen, "Mobile WiMAX", Aurobech Publications, 2008.

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