GRAPHIC ERA UNIVERSITY DEHRADUN · Web view2017/09/01 · Viva / Quiz / Mid Term Lab...

GRAPHIC ERA UNIVERSITY DEHRADUN

Elective Courses M. Tech. (Communication Systems)Name of Department: Electronics and Communication Engineering

1. Subject Code: Course Title:

2. Contact Hours: L: T: P:

3. Examination Duration (Hrs.): Theory Practical

4. Relative Weight: CWS PRS MTE ETE PRE

5. Credits:

6. Semester:

7. Subject Area:

8. Pre-requisite: Digital and Analog communication

9. Course Outcomes:

The subject offers basic knowledge about the satellite communication. The syllabus imparts knowledge about the orbital mechanics, monitoring of the satellite, the various subsystems, the modulation schemes used, designing of satellite links for different access schemes, environmental effects, applications of satellite communication, Indian scenario in the field

10. Details of the Course:-

Sl. No.

Contents Contact Hours

1 Introduction:Satellite Systems, Orbital description and Orbital mechanics of LEO, MEO and Geo stationary satellite, Placement of a Satellite in a GSO, Satellite – description of different Communication subsystems, Bandwidth allocation.

8

2 Different modulation and Multiplexing Schemes:Multiple Access Techniques – FDMA, TDMA, CDMA, Pre assigned and demand assigned access Coding Schemes.

10

3 Basic link analysis:Interference analysis, Rain induced attenuation and interference, Ionospheric characteristics, Link Design with and without frequency reuse.

12

4 Radio and Satellite Navigation:GPS Position Location Principles, GPS Receivers and Codes, Satellite Signal Acquisition, GPS Receiver Operation and Differential GPS.

6

5 Satellite Packet Communications: 6

32

Satellite Communication

013

CSM 580

0

05025025

3

4

Elective I

Autumn

Intelsat series – INSAT series –VSAT, mobile satellite services, INMARSAT, Satellite and Cable Television, DBS (DTH), VSAT, Satellite Phone.

Total 42

11. Suggested Books:SL.No.

Name of Authors/Books/Publishers Year of Publication/Reprint

Text Books

1. Timothy Pratt and Charles W. Bostain, Satellite Communications, John Wiley and Sons.

2003

2. Tri T Ha, Digital Satellite Communication, McGraw Hill. 1990

Reference Books

1. Wilbur L. Pritchard, H.G. Suyderhoud, Robert A. Nelson, Satellite Communication Systems Engineering, Prentice Hall, New Jersey.

2006

2. D. Roddy, Satellite Communication, McGraw Hill. 2006

12. Mode of Evaluation Viva / Quiz / Mid Term Lab Exam / End Term Lab Exam

33

GRAPHIC ERA UNIVERSITY DEHRADUNName of Department: - Electronics and Communication Engineering



3. Examination Duration (Hrs): Theory Practical


5. Credits:

6. Semester:

7. Subject Area:

8. Pre-requisite: Wireless communication

9. Course Outcomes:

The course covers Challenges in Wireless Sensor Networks, Sensor Network Architecture and Applications, Infrastructure Establishment, Sensor Network Platforms and Tools and Routing Techniques.

10. Details of the Course:

Sl. No.


1 Introduction: Constraints and Challenges, Opportunities and Challenges in Wireless Sensor Networks, Advantages of Sensor Networks (Energy Advantage and Detection Advantage), Sensor Network Applications, Smart Transportation, Collaborative Processing.

8

2 Sensor Network Architecture and Applications: Introduction, Functional Architecture for Sensor Networks, Sample Implementation Architectures, Classification of WSNs, Characteristics, Technical Challenges, and Design Directions, Technical Approaches, Coverage in Wireless Sensor Networks, Location in Wireless Sensor Networks, Data Gathering and Processing

8

3 Infrastructure Establishment: Topology Control, Clustering, Time Synchronization, Localization and Localization Services.

8

4 Sensor Network Platforms and Tools: Individual Components of SN Nodes, Sensor Network Node, WSNs as Embedded Systems, Sensor Node Hardware, Sensor Network Programming Challenges, Node-Level Software Platforms, Node-Level Simulators, Programming beyond Individual Nodes: State-Centric Programming.

10

34

Wireless Sensor Networks

013

CSM 581

0

05025025

3

4

Autumn

Elective I

5 Taxonomy of Routing Techniques: Routing Protocols, Future Directions, Applications/Application Layer Protocols, Localization Protocols, Time Synchronization Protocols, Transport Layer Protocols, Network Layer Protocols, Data Link Layer Protocols .

8

Total 42

11. Suggested Books:

SL.No.


Text Books

1. Wireless Sensor Networks: F. ZHAO, C GUIBAS, Elsevier, Morgan Kaufmann, 2004 .

2004

2. Hand book of Sensor Networks, MOHAMMAD ILYAS, IMAD MAHGOUB, CRC Press.

2005

Reference Books

1. KAZEM SOHRABY DANIEL MINOLI TAIEB ZNATI : Wireless

sensor networks Technology, Protocols, and Applications, A

John Wiley and sons, INC Publication.

2007

2. Jun Zheng, Abbas Jamalipour :Wireless Sensor Networks: A Networking Perspective, A John Wiley and sons, INC Publication.

2009

12. Mode of Evaluation Test / Quiz / Assignment / Mid Term Exam / End Term Exam / Lab Exam

35

GRAPHIC ERA UNIVERSITY DEHRADUNName of Department: Electronics and Communication Engineering





5. Credits:

6. Semester:

7. Subject Area:

8. Pre-requisite: Communication theory

9. Course Outcomes:

The course covers lessons in Communication Switching, Digital Switching, ATM, Narrowband And Broadband ISDN, traffic engineering and retouches the concepts of data networks.


Sl. No.


1 Basic of switching system:Need for switching, need for network telephone communication, introduction of all switching.

6

2 Store Program Control:Store program control centralized and distributed SPC, two stage and three stage switching, blocking and non-blocking switch enhance software, application software, time division switching, TST switching STS switching.

10

3 Network traffic:Network traffic load and parameters, GOS, modeling death birth process, erlangs, wire transmission, telephone networks organization, switching hierarchy.

8

4 Transmission system:Digital multiplexing technique, TDMA, FMDA and CDMA, random access technique.

8

5 Data Transmission:Data transmission in DSTN, ISDN, B-ISDN, layered architecture, network topology, data communication architecture, link to link layer, LAN/WAN standard, internet, ATM networks.

10

Total 42

36

Telecommunication Switching and Networks

CSM 582

01 3

0

5025025 0

3

4

Elective I

Autumn


SL.No.


Text Books1. T. Viswanathan, ‘Telecommunication switching system and

networks’ PHI limited.2001

2. B. Forouzan, ‘Introduction to data communication and networking’ McGraw Hill.

2002

3. Syed R Ali, ‘Digital switching system’ Tata McGraw Hill. 2005


37






5. Credits:

6. Semester:

7. Subject Area:

8. Pre-requisite: Engineering Mathematics

9. Course Outcomes:

To understand random variable, random process, stationary &non stationary process and their relation.


Sl. No.


1 Introduction to Theory of Probability:Axioms of Probability, Review of set theory, Joint & conditional probability, Independent events, Combined Experiments.

6

2 Random variables and random vectors:Distributions and densities. Some useful probability distributions (Uniform, Gaussian, Exponential, Gamma, Rayleigh, Rician, Binomial, Poisson), Conditional distribution & density function, Functions of one RV, Statistical independence. Operations on One Random Variable - Expectations, moments, Chebycheff inequality, Characteristic functions and moment generating functions.

10

3 Functions of two Random Variables:Operation on Two random variables, correlation, covariance, vector space of random variables, Multiple random variables, operation on multiple random variable, central limit theorem, Infinite sequences of random variables. Convergence concepts. Laws of large numbers, Tchebycheffinequality and estimation of unknown parameters.

10

4 Stochastic processes:Stationarity& independence, Stationarity in the strict and wide senses, Ergodicity, Widesense stationary processes.Correlation functions & their properties, Gaussian random process, Covariance functions and their properties, Measurement of correlation functions.

10

5 Spectral characteristic of random process:Power spectral density &their properties, relation between PSD &

6

38

Probability and Stochastic Processes

013

CSM 583

0

05025025

3

4

Autumn

Elective I

autocorrelation function, Wiener-Khintchine relations, cross power spectrum density and its properties.Total 42


SL.No.


Text Books

1. Peyton Z. Peebles, Probability, random variable, and random signal principle, 4th Edition, McGraw-Hill.

2001

2. Athanasios Papoulis, S. UnnikrishnaPillai, “Probability, Random Variables and Stochastic Processes,” 4th Edition, McGraw-Hill.

2002

Reference Books

1. R.B.Ash&C.DoleansDade, Probability and Measure Theory (2/e), Elsevier, 2005

2005

2. E.Wong&B.Hajek, Stochastic Processes in Engineering systems, Springer.

1985

3 R.B.Ash and W.A.Gardner, Topics in stochastic processes, Academic Press.

1975


39






5. Credits:

6. Semester:

7. Subject Area:

8. Pre-requisite: Antenna theory, signal processing

9. Course Outcomes:

Understanding smart antenna application for wireless communication and concept of various beam forming algorithms.


Sl. No.


1 Introduction to smart antenna:Introduction, antenna basic parameters, Friis-formula, vector potential, linear antenna, loop antenna.

8

2 Linear array:Array weighting, circular array, planar array, fixed beam array, fixed side lobe canceling, retro-directive array.

8

3 Propagation channel characteristic:Flat earth model, multipath propagation mechanism, propagation channel basics. Improving signal quality: equalization, diversity, channel coding, MIMO.

8

4 Fundamental of matrix algebra:Array correlation matrix, AOA estimation: Bartlett, Capon, Linear prediction, maximum entropy, MUSIC, ESPRIT.

8

5 Fixed weight beamforming algorithm:Maximum likelihood, minimum variance. Adaptive beamforming: least mean square, simple matrix inversion, recursive least square, conjugate gradient method.

10

Total 42

40

Smart Antenna Techniques

013

CSM 584

0

05025025

3

4

Spring

ELECTIVE II


SL.No.


Text Books1. Frank B. Gross, ‘Smart Antennas for Wireless

Communication,’ McGraw Hill.1999

2. Constantine A. Balanis, ‘Antenna Theory: Analysis and Design,’ 3rd Edition, Wiley.

2009

Reference Books1. T.S.Rappaport & J.C.Liberti, ‘Smart Antennas for Wireless

Communication,’ Prentice Hall (PTR).1999

2. R. Janaswamy, ‘Radio Wave Propagation and Smart Antennas for Wireless Communication,’ Kluwer.

2001


41






5. Credits:

6. Semester:

7. Subject Area:

8. Pre-requisite:Digital Signal processing

9. Course Outcomes:

This course provides the understanding of speech production mechanism and speech processing concept. Extraction of speech feature parameters and speaker recognition models.


Sl. No.


1 Fundamentals of the Speech Production mechanism and Digital Speech Processing: Anatomy & Physiology of Speech Organs, The process of Speech Production, Acoustic phonetics, The Acoustic Theory of Speech Production, Lossless Tube models, Digital models for speech signals. Time Domain Models For Speech Processing: Introduction, Window considerations, Short time energy and average magnitude Short time average zero crossing rate, Speech vs. silence discrimination using energy and zero crossing, Pitch period estimation using a parallel processing approach, The short time autocorrelation function, The short time average magnitude difference function, Pitch period estimation using the autocorrelation function.

10

2 Linear Predictive Coding (LPC):Basic principles of Linear Predictive Analysis: The Autocorrelation Method, The Covariance Method, Solution of LPC Equations: Cholesky Decomposition Solution for Covariance Method, Durbin’s Recursive Solution for the Autocorrelation Equations, Pitch Detection and using LPC Parameters.

8

3 Homomorphic Speech Processing: 8

42

Speech Processing

01 3

CSM 585

0

05025025

3

4

Elective II

Spring

Introduction, Homomorphic Systems for Convolution: Properties of the Complex Cepstrum, Computational Considerations, The Complex Cepstrum of Speech, Pitch Detection, Formant Estimation, Mel frequency cepstrum computation, Mel frequency cepstral co-efficients (MFCC) feature extraction.

4 Speech Enhancement:Nature of interfering sounds, Speech enhancement techniques: spectral subtraction, Enhancement by re-synthesis, Comb filter, Wiener filter.

6

5 Statistical models for speech recognition:Introduction to speaker recognition and speech recognition. Vector quantization model and Gaussian mixture model for speaker and speech recognition. Discrete and Continuous Hidden Markov modeling for isolated word and continuous speech recognition.

10

Total 42


SL.No.


Text Books

1. Lawrence R. Rabiner, Ronald W. Schafer, Introduction to Digital Speech Processing, pearson.

2007

2. Thomas F. Quatieri, Discrete-Time Speech Signal Processing: Principles And Practice, Pearson Education India

2002

Reference Books

1. Sadaoki Furui, Digital Speech Processing: Synthesis, and Recognition, Second Edition

1995


43

http://www.google.co.in/search?tbo=p&tbm=bks&q=inauthor:%22Thomas+F.+Quatieri%22




3. Examination Duration (Hrs): Theory Practical


5. Credits:

6. Semester:

7. Subject Area:


9. Course Outcomes:

The course covers basics to Software Defined Radio, signal processing Hardware Components for SDR, software standards, Smart Antennas Using Software Radio.


Sl. No.


1 Introduction: Software Defined Radio, A Traditional Hardware Radio Architecture, Signal Processing Hardware History, Software Defined Radio Project Complexity, 2G Radio Architectures Hybrid Radio Architecture, Basic Software Defined Radio Block Diagram, System Level Functioning Partitioning-Digital Frequency Conversion Partitioning.

8

2 RF System Design: Introduction Noise and Channel Capacity, Link Budget, Receiver Requirements, Multicarrier Power Amplifiers, Signal Processing Capacity Tradeoff.

8

3 Signal Processing Hardware Components: Introduction, SDR Requirements for Processing Power, DSPs, DSP Devices, DSP Compilers, Reconfigurable Processors Adaptive Computing Machine- FPGAs

8

4 Software Architecture and Components: Introduction, Major Software Architecture Choices, Hardware, Specific Software Architecture, Software Standards for Software CO1 Conceptualize the SDR and implementation details CO2 Design SDR for a specific application CO3 Identify the challenges in the maintenance of SDR CO4 Analyses the transmitter and receiver

10

44

Software Defined Radio

013

CSM 586

0

05025025

3

4

Spring

Elective II

architectures 22 Radio, Software Design Patterns, Component Choices, Real Time Operating Systems, High Level Software Languages, Hardware Languages.

5 Smart Antennas Using Software Radio: Introduction, 3G smart Antenna Requirements Phased Antenna Array Theory, Applying Software Radio Principles to Antenna Systems Smart Antenna Architectures, Optimum Combining/ Adaptive Arrays, DOA Arrays, Beam Forming for CDMA, Downlink Beam Forming.

8

Total 42



Text Books

1. Paul Burns, Software Defined Radio for 3G, Artech House. 2002

2. Tony J Rouphael, RF and DSP for SDR, Elsevier Newnes

Press,

2008

Reference Books

1. Jouko Vanakka, Digital Synthesizers and Transmitter for

Software Radio, Springer.

2005

2. P Kenington, RF and Baseband Techniques for Software

Defined Radio, Artech House.

2005


45






5. Credits:

6. Semester:

7. Subject Area:

8. Pre-requisite: Basic Engineering Mathematics, Signals and Systems, Digital Signal Processing

9. Course Outcomes:

Understanding the process of image formation and representation and popular techniques for enhancement, restoration, compression and analysis of images.


Sl. No.


1 Introduction to the Digital Image Processing:Introduction to the Digital Image Processing areas and applications, Elements of human Visual Perception, Image Sensing and Acquisition, Image Sampling and Quantization, Basic Relationships between Pixels: Neighborhoods, adjacency, and distances. Basic to Color image, RGB.

10

2 Image Enhancement:Intensity Transformations, Histogram modeling; equalization and modification, Spatial Filtering: Smoothing Spatial Filters and Sharpening Spatial Filters, Image Smoothing Using Frequency Domain Filters.

8

3 Image Restoration and Reconstruction:Model of the Image Degradation/Restoration Process, Noise Models, Restoration by Spatial Filtering, Periodic Noise Reduction by Frequency Domain Filtering, Inverse Filtering, Minimum Mean Square Error (Wiener) Filtering.

8

4 Morphological Image Processing: Erosion and Dilation, Duality, Opening and Closing, the Hit-or-Miss Transformation, Boundary Extraction, Hole Filling, Extraction of Connected Components.

8

5 Image Segmentation, Representation and Description: Detection of Isolated Points, Line Detection, Edge Models, Edge

8

46

Digital Image Processing

013

CSM 587

0

05025025

3

4

Elective II

Spring

Detection, Thresholding, Region-Based Segmentation, Chain Codes, Image Data Compression: Encoding process and criteria, Lossless compression and Lossy compression, Entropy and Huffman coding; Run-length coding for bi-level images, transform coding; JPEG image compression standard.

Total 42



Text Books

1. Rafael C. Gonzalez, Richard E. Woods, ``Digital Image Processing,'' 3rd Edition, Prentice Hall; ISBN: 013168728X.

2007

2. Al Bovik editor, Handbook of Image & Video Processing, ISBN 0-12-119790-5, Academic Press, San Diego.

2000

Reference Books

1. Rafael C. Gonzalez, Richard E. Woods, and S. L. Eddins, ``Digital Image Processing Using MATLAB,'' Prentice Hall, 2004. ISBN 0130085197.

1999

2. Anil K. Jain, ``Fundamentals of digital image processing,'' Englewood Cliffs, NJ : Prentice Hall.

1996


47






5. Credits:

6. Semester:

7. Subject Area:

8. Pre-requisite: Basic Engineering Mathematics, Signals and Systems, Digital Signal Processing, Digital Image Processing

9. Course Outcomes:

Understanding the process of video formation and representation and popular techniques for motion estimation, compression and analysis of videos.


S. No. Contents Contact Hours

1 Video Formation, Perception, and Representation:Color Perception and Specification, Video Capture and Display, Analog Video Raster, Digital Video, Video Quality Measure. Fourier Analysis of Video Signals and Frequency Response of Human Visual System, Video Sampling.

6

2 Video Modeling: Camera Model, Illumination Model, Object Model, Scene Model, Two-Dimensional Motion Models.

6

3 Two Dimensional Motion estimation: Optical Flow, General Methodologies, Pixel-Based Motion Estimation, Block-Matching Algorithm, Mesh-Based Motion Estimation, Global Motion Estimation, Region-Based Motion Estimation.

Three-Dimensional Motion Estimation: Feature-Based Motion Estimation, Direct Motion Estimation, Iterative Motion Estimation.

10

4 Foundations of Video Coding: Overview of Coding Systems, Categorization of video coding schemes, Information Theory for source coding, Binary encoding, Scalar quantization, Vector quantization, Wave form based coding, Block-based transform coding, Predictive coding, Temporal prediction & transform coding.

10

5 Video compression standards:MPEG standards (1, 2, 3, 4), H.261 family of standards, DVI

10

48

Digital Video Processing and Coding

013

CSM 588

0

05025025

3

4

Elective III

Autumn

technology.

Video processing applications: Video surveillance, Mobile streaming.

Total 42


S.No.


Text Books1. Y. Wang, J. Ostermann, and Y. Q. Zhang, Video Processing

and Communications. Prentice Hall.2002

2. Alan C. Bovik, The Essential Guide to Video Processing, Academic Press; 1 edition.

2009

Reference Books1. Rafael C. Gonzalez, Richard E. Woods, and S. L. Eddins,

“Digital Image Processing Using MATLAB,'' Prentice Hall, 2004. ISBN 0130085197.

1999

2. M. Tekalp ,”Digital video Processing”, Prentice Hall International

1996

3. Al Bovik editor, Handbook of Image & Video Processing, ISBN 0-12-119790-5, Academic Press, San Diego.

2000


49






5. Credits:

6. Semester:

7. Subject Area:


9. Course Outcomes:

Knowledge of the 802.11 Wireless LAN (WiFi), Bluetooth standards and other wireless technologies. This content of course includes their designs, operations, plus approaches to interoperability. This course introduces the mobile ad hoc networks, design and implementation issues, and available solutions. Understanding of MAC layer protocols and routing mechanisms and the three classes of approaches: proactive, reactive, and hybrid. Brief introduction of sensor networks and their characteristics are included. This course also provides the overview of energy management, security issues and quality of service in ad hoc networks.


Sl. No.


1 Mobile Ad-hoc network:Fundamental of wireless networks, Bluetooth, IrDA, 802.11(Wi-Fi), 802.16 (Wi-Max), Difference between cellular and ad hoc networks, Technical and research challenges.

8

2 Need for Medium Access Control(MAC) Protocols:Issues and design goals of MAC protocols, Classification of MAC protocols: Contention Based Mac protocols, Contention Based Mac protocols with reservation mechanism, Multiple Access Collision Avoidance (MACA), Media Access Protocol for wireless (MACAW), Floor Acquisition Multiple Access Protocols (FAMA), Busy Tone Multiple Access Protocols (BTMA), Multiple Access Collision Avoidance – by Invitation(MACA-BI), Dual Busy Tone Multiple Access Protocols (DBTMA), Multichannel Carrier sense Multiple access (CSMA) MAC Protocol.

8

3 Design Issues of Routing Protocols:Ideal characteristics of Routing protocol, Classification of Routing Protocols: Proactive, Reactive, Hybrid. Overview of DSDV Routing protocol, Clustering in MANET, Hierarchical Routing.Overview of DSR (Dynamic Source Routing) Protocols: DSR

10

50

Mobile Ad hoc Networks

013

CSM 589

0

05025025

3

4

Elective III

Autumn

Properties, Additional Route Discovery and Maintenance Features. Overview of AODV (Ad Hoc On Demand Distance vector) Protocols, Unicasting, Multicasting, Unicast Route Establishment, Multicasting Route Establishment.

4 Overview of ZRP (Zone Routing Protocol):Reconfigurable Wireless Networks, Intrazone, Interzone Routing Protocols. Overview of OLSR (Optimized Link State Routing) Protocol, Protocol Functioning, Core Functioning. QoS in Ad Hoc wireless networks Issues and Challenges, Classification of QoS solutions.

8

5 Energy management System in Ad Hoc networks:Power Issues, Smart Batteries and Associativity based Routing, Effects of Beaconing of Battery Life, Maximum life Time Routing. Security in Ad Hoc wireless networks, Network Security Requirements, Issues and Challenges in Security Provisioning, Network Security Attacks. Wireless Sensor Networks, Issues and Challenges, Evolving Standards Sensor Network Architecture, Flooding Gossiping, Rumour Routing, Quality of Sensor Networks.

8

Total 42


SL.No.


Text Books1. Perkins, C., ‘Ad Hoc Networking’, Addison Wesley, 2000. 2007

2. Murthy, C. Siva Ram, and Manoj, B. S., ‘Ad Hoc Wireless Networks Architecture and Protocols’, Pearson Education 2nd Edition.

1989

Reference Books1. Basagni, S. And Conti M., ‘Mobile Ad Hoc Networking’, Wiley, 2004


51






5. Credits:

6. Semester:

7. Subject Area:

8. Pre-requisite: Basic knowledge of optical fiber

9. Course Outcomes:

This course introduces the student with concepts of optical networking (backbone network), covers client layer standards, optical network elements, control plane functionalities and survivability of optical network in event of failures.


Sl. No.


1 Introduction to optical network: Telecommunication Network architecture, services, circuit switching and packet switching, optical networks, optical layer, all optical networks, transmission basics, Network evolution.

10

2 Optical components: Coupler, Isolators and circulators, multiplexers, filters, Optical amplifiers. Client layers of optical layers: SONET/SDH, ATM, IP, storage area networks.

12

3 WDM optical network elements and design: Line terminals, line amplifiers, add drop multiplexers, optical cross-connects, LTD and RWA problems, dimensioning WRONs.

12

4 Control and management:Network management functions, performance and fault management. Introduction to GMPLS.

6

5 Network survivability:

Basic concepts, protection in SONET/SDH, protection in IP, optical layer protection

6

Total 42

52

Optical Networks

013

CSM 590

0

05025025

3

4

Elective III

Autumn


SL.No.


Text Books1. R. Ramaswami & K. N. Sivarajan, Optical Networks (3/e),

Elsevier.2003

Reference Books1. John M.S. senior, ‘Optical fiber communication,’ PHI, 2nd ed. 20012. G. E. Keiser, ‘Optical fiber communication,’ McGraw Hill, 3rd

ed.1998


53






5. Credits:

6. Semester:

7. Subject Area:

8. Pre-requisite: Engineering Mathematics

9.Course Outcomes:

Understand the concepts of learning, the concept of decision theory, the concept of unsupervised learning and clustering.


Sl. No.


1 Machine perception:Pattern Recognition System, Design Cycle, Learning and Adaptation.

6

2 Linear Algebra Review:Notation and preliminaries, Addition, Matrix Multiplication, determinant and trace, Inverse and transpose, Eigen vectors and Eigen values. Probability theory review: Expected value, conditional probability, Baye’s rule, some standard distributions.

7

3 Bayesian Decision Theory:Continuous feature, two category classification, minimum error rate classification ,classifiers, discriminant functions and decision surfaces, normal density, discriminant function for normal category.

7

4 Maximum Likelihood (MLE) and Bayesian Parameter estimation: MLE, Bayesian estimation, Bayesian parameter estimation (Gaussian and general), Problem of dimensionality, dimensionality reduction: component analysis and discriminants: PCA, FLD, MDA Linear Discrimnant function, Support Vector Machine: optimization objective, large margin classification, Multicategory generalization, KNN classifier.

12

5 Unsupervised Learning and Clustering: Introduction, mixture densities and identifiability, K-means

10

54

Machine Learning

013

CSM 591

0

05025025

3

4

Elective III

Autumn

clustering, fuzzy k mean clustering, criterion functions for clustering, choosing the number of clusters. Hierarchical clustering, Component analysis.Total 42



Text Books

1. Tom Mitchell, “Machine learning,” McGraw Hill. 1998

2. Richard O. Duda, Peter E Hart, David G. Stork, “Pattern Classification,” 2nd edition Wiley.

1998

Reference Books

1. C.M. Bishop, “Pattern recognition and machine learning,” Springer.

1998

2. Robert Schalkoff “Pattern Recognition”, John Wiley & Sons. 2007


55






5. Credits:

6. Semester:

7. Subject Area:

8. Pre-requisite: Communication network, digital communication, random process

9. Course Outcomes:

Understanding the behavior of communication network, the performance of communication network in real time environment.


Sl. No.


1 Model of speech and picture signals: Pseudo noise sequences, Non-linear sequences, Analog channel model, Noise and fading, Digital channel model-Gilbert model of bustry channels, HF, Troposcatter and satellite channels, Switched telephone channels, Analog and Digital communication system models, Light wave system models.

8

2 Univariate and multivaraiate models:Transformation of random variables, Bounds and approximation, Random process models-Markov AND aARMA Sequences, Sampling rate for simulation, Computer generation and testing of random numbers.

8

3 Quality of an estimator: Estimator of SNR, Probability density functions of analog communication system, BER of digital communication systems, Montrecarlo method and Importance sampling method, estimation of power spectral density of a process.

10

4 Queuing models:Queuing models M/M/I and M/M/I/N queues, Little formula, Burke's theorem, M/G/I queue, Embedded Markov chain analysis of TDM systems, Polling, Random access systems.

8

56

Modeling of Communication Systems and Networks

CSM 592

01 3

0

5025025 0

3

4

Autumn

Elective III

5 Queeues in tandem:Store and forward communication networks, capacity allocation, Congestion and flow chart, Routing model, Network layout and Reliability.

8

Total 42


Sl.No.


Text Books

1. M.C.Jeruchim, Philip Balaban and K.SamShanmugam, "Simulation of communication systems", Plenum Press, New York.

1992

2. A.M.Law and W.David Kelton, "Simulation Modelling and analysis", Mc Graw Hill Inc.,New York.

1991

Reference Books

1. J.F.Hayes, "Modelling and Analysis of Computer Communiocation networks, Plenum Press,New York.

1984

2. Jerry Banks and John S.Carson,Deiscrete-event system Simulation",Prentice Hall,Inc.,New Jersey.

1984


57

GRAPHIC ERA UNIVERSITY DEHRADUN · Web view2017/09/01 · Viva / Quiz / Mid Term Lab...

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