mca Syllabus

Digital Signal Processing
Code: CS 801C
Contact: 3L
Credits: 3
Allotted Hrs: 39L

Introduction, Overview of digital signal processing                                                  [2L
Review of: Discrete – Time linear system, Sequences, arbitrary sequences, linear time invariant system, causality, stability. Difference equation, relation between continuous and discrete system. Classifications of sequence, recursive and non-recursive system.
[4L]

Review of :Mathematical operations on sequences: Convolution, graphical and analytical techniques, overlap and add methods, matrix method, some examples and solutions of LTI systems, MATLAB examples.                                                                                    [2L]

Z-transform: Definition, relation between Z transform and Fourier transform of a sequence, properties of Z transform, mapping between S-plane and Z-plane. Unit circle, convergence and ROC, Inverse Z-transform, solution of difference equation using the one sided Z-transform MATLAB examples.                                                                     [7L

Discrete Fourier transform: Definition, inverse discrete Fourier transform (IDFT) Twiddle factor, linear transformation, basic properties, circular convolution, multiplication of DFT, linear filtering using DFT, filtering of long data sequences, overlap add and save method. Computation of DFT, Fast Fourier transform (FFT), FFT
algorithm, Radix 2 algorithm. Decimation-in-time and decimation-in- frequency algorithm, signal flow graph, butterflies, Chirp z-transform algorithm, MATLAB examples.                                                                                                                     [12L

Digital filter realization: Principle of digital filter realization, structures of All-zero filters. Design of FIR (Finite impulse response) filters, linear phase, windows-rectangular, Berlitt, Hanning, Hamming and Blackman. Design of infinite impulse response filters (IIR) from analog filters. Bilinear transformation, Butterworth, Chebyshev, Elliptic filters. Optimisation method of IIR filters. Some example of practical filter design. Computer aided filter design, MATLAB examples .                                     [12L

Text:
1. “Digital Signal Processing”, Ifeachor, Pearson
2. “Understanding Digital Signal Processing”, R. G. Lyons, Pearson
3. “Theory and Application of Digital Signal Processing”, L.R. Rabiner & B.Gold, PHI
4. “Digital Signal Processing, Principles, Algorithms and Applications”, J.G. Proakis & D.G. Manolakis, PHI
5. “Digital Signal Processing”, S. Salivahanan et al, TMH
Reference:
1. Digital Signal Processing, Chen, OUP
2. Digital Signal Processing with FPGA, Meyer-Basse U, Spriger India
3. Digital Signal Processing using MATLAB, Ingle, Vikas
4. Digital Signal Processing , Babu R, Scitech
5. Digital Signal Processing - A Computer based approach, S.K.Mitra, TMH
6. Digital Signal Processing, Xavier, S. Chand
7. Digital Signal Processing Applications, Pradhan, Jaico