B.Tech Electronics and Electrical Engineering

EE 321                Digital Signal Processing                                  3-0-0-6

Syllabus: Review of discrete time signals, systems and transforms. Z-transform and its application: Direct z-Transform, Inverse z-Transform, Inversion of z-transform, Properties of z-Transform, Poles and Zeros, Pole location and time domain behaviour for causal signals, Analysis of LTI systems in z-Domain, One-sided z-transform. Discrete Fourier Transform (DFT): Computational problem, DFT relations, DFT properties, fast Fourier transform (FFT) algorithms (radix-2, decimation-in-time, decimation-in-frequency). Frequency selective filters: Ideal filter characteristics, low pass, high pass, bandpass and band stop filters, Paley-Wiener criterion, digital resonators, notch filters, comb filters, all-pass filters, inverse systems, minimum phase, maximum phase and mixed phase systems. Structures for discrete-time systems: Signal flow graph representation, basic structures for FIR and IIR systems (direct, parallel, cascade and polyphase forms), transposition theorem, ladder and lattice structures. Windowing Techniques: Effect of windowing, rectangular window, Hanning window, Hamming window, Blackman window. Design of FIR and IIR filters using window functions.

Texts

1. Oppenheim and R. W. Shafer, Discrete-Time Signal Processing, 3^rd edition. Pearson, 2014.
2. G. Proakis and D. G. Manolakis, Digital Signal Processing: Principles, Algorithms and Applications, 4^th edition. Pearson, 2007.

References

1. K. Ingle and J. G. Proakis, Digital signal processing with MATLAB. Cengage, 2008.
2. K. Mitra, Digital Signal Processing: A computer-Based Approach, 3^rd edition. Tata McGraw-Hill, 2006.
3. R. Rabiner and B. Gold, Theory and Application of Digital Signal Processing, Prentice Hall India, 2005.
4. Antoniou, Digital Filters: Analysis, Design and Applications. Tata McGraw-Hill, New Delhi, 2003.