Syllabus Dsp n Sig n Sys - 6thsem Be (Etc n Pei) Jist

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Jorhat Institute of Science and Technology 6 th Sem B.E. (ETC & PEI) Syllabus of Digital Signal Processing L-3 T-1 P-2 Theory – 100 Practical – 25 Sessional – 50 Module I: Discrete Fourier Transform (10 Hrs.) : Discrete Fourier Series – properties of DFS – periodic convolution – DFT – properties – linear convolution using DFT – computation of DFT – circular convolution – decimation in time and decimation in frequency radix-2 FFT algorithms – FFT algorithm for a composite number. Module II: IIR and FIR Filter Structures (8 Hrs.): Signal flow graph representation – basic filter structures – structures for linear phase – finite word-length effects in digital filters – quantizer characteristics - saturation overflow – quantization in implementing systems – zero input limit cycles. Module III: Digital filter design (12 Hrs.): Design of IIR digital filters from analog filters – Butterworth and Chebyshev filters – design examples – impulse invariant and bilinear transfoprmation methods – spectral transformation of IIR filters – FIR filter design – linear phase characteristics – window method. Module IV: General and Special purpose hardware for DSP (10 Hrs.): Computer architecture for signal processing – hardware architecture – pipelining – hardware multiplier – accumulator – special instructions – general purpose digital signal processors – Texas Instruments TMS 320 family – Motorola DSP 56000 family – analog devices ADSP 2100 family – implementation of DSP algorithm on general purpose digital signal processors. Text books/ Reference books :

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Transcript of Syllabus Dsp n Sig n Sys - 6thsem Be (Etc n Pei) Jist

Page 1: Syllabus Dsp n Sig n Sys - 6thsem Be (Etc n Pei) Jist

Jorhat Institute of Science and Technology6th Sem B.E. (ETC & PEI)

Syllabus of Digital Signal ProcessingL-3 T-1 P-2 Theory – 100 Practical – 25 Sessional – 50

Module I: Discrete Fourier Transform (10 Hrs.) : Discrete Fourier Series – properties of DFS – periodic convolution – DFT – properties – linear convolution using DFT – computation of DFT – circular convolution – decimation in time and decimation in frequency radix-2 FFT algorithms – FFT algorithm for a composite number.

Module II: IIR and FIR Filter Structures (8 Hrs.): Signal flow graph representation – basic filter structures – structures for linear phase – finite word-length effects in digital filters – quantizer characteristics - saturation overflow – quantization in implementing systems – zero input limit cycles.

Module III: Digital filter design (12 Hrs.): Design of IIR digital filters from analog filters – Butterworth and Chebyshev filters – design examples – impulse invariant and bilinear transfoprmation methods – spectral transformation of IIR filters – FIR filter design – linear phase characteristics – window method.

Module IV: General and Special purpose hardware for DSP (10 Hrs.): Computer architecture for signal processing – hardware architecture – pipelining – hardware multiplier – accumulator – special instructions – general purpose digital signal processors – Texas Instruments TMS 320 family – Motorola DSP 56000 family – analog devices ADSP 2100 family – implementation of DSP algorithm on general purpose digital signal processors.

Text books/ Reference books:1) Oppenheim A. V., Schafer R. W. & Buck J. R., Discrete – Time Signal Processing, PHI /

Pearson Education2) Mitra S. K., Digiotal Signal Processing: A Computer Based Approach, Tata McGraw Hill3) Proakis T. G. & Manolakis D. G., Digital Signal Processing – Principles, Algorithms and

Applications, PHI

Page 2: Syllabus Dsp n Sig n Sys - 6thsem Be (Etc n Pei) Jist

Jorhat Institute of Science and Technology4th Sem B.E. (ETC & PEI)

Syllabus of Signals and SystemsL-3 T-1 P-2 Theory – 100 Practical – 25 Sessional – 50

1. Classification of Signals and Systems : Continuous-time signals (CT signals), Discrete time signals (DT signals) – Step, Ramp, Pulse, Impulse, Exponential, Classification of CT and DT signals – periodic and aperiodic, random signals, CT systems and DT systems, Basic properties of systems – Linear Time Invariant (LTI) systems and properties.

2. Analysis of Continuous Time signals : Fourier series analysis, Spectrum of CT signals, Fourier Transform and Laplace Transform in Signal Analysis

3. Linear Time Invariant – Continuous Time Systems : Differential equation, Block diagram representation, Impulse response, Convolution integral, frequency response, Fourier and Laplace Transforms in analysis, State variable equations and matrix representation of systems.

4. Analysis of Discrete Time Signals : Mathematical theory of sampling, Sampling theorem, Ideal & Real sampling, Interpolation technique for the reconstruction of a signal from its samples, Aliasing, Sampling in frequency domain, Sampling of discrete time signals, Parseval’s Theorem, DTFT and properties, Z-transform and properties of Z-transform.

5. Linear Time Invariant – Discrete Time Systems : Difference equations, Block diagram representation, Impulse response, Convolution sum, LTI system analysis using DTFT and Z-transforms, State variable equations and matrix representation of systems.

Text/Reference Books:1) A. V. Oppenheim, A. S. Willsky and I. T. Young, “Signals and Systems”, Prentice Hall2) S. Salivahanan, A. Vallavaraj, C. Gnanapriya, “Digital Signal Processing”, McGraw Hill3) R. F. Ziemer, W. H. Tranter and D. R. Fannin, “Signals and Systems – Continuous and

Discrete”, PHI4) B. P. Lathi, “Signal Processing and Linear Systems”, Oxford University Press5) Douglas K. Lindner, “Introduction to Signals and Systems”, McGraw Hill6) Simon Haykin, Barry Van Veen, “Signals and Systems”, John Willey and Sons (Asia) Pvt. Ltd.7) Edward W Kamen & Bonnie’s Heck, “Fundamentals of Signals and Systems”, Pearson

Education8) P Hsu, Rakesh Ranjan, “Signals and Systems”, Schaum’s Outilines, Tata McGraw Hill