Syllabus - DSP (Digital Signal Processing) (EI 603 (A))

Discrete time signals & systems

Introduction, types of signals, discrete time signal sequences, discrete time systems, linear shift invariant systems, Stability & causality, linear constant coefficient difference equation, frequency domain representation of discrete time systems & signals, properties of the Discrete Time Fourier transform (DTFT), Sampling and discrete time processing of continuous-time signals.

Z-Transform and Transform analysis of LTI systems

Z-transform, Inverse Z-transform, properties of Z-transform, one sided Z-transform and its applications, system function, frequency response of LTI systems, minimum phase and linear phase systems.

Discrete Fourier transform(DFT),and its computation

Discrete Fourier Series, Discrete Fourier Transform, Linear convolution using Discrete Fourier Transform, Decimation in time FFT algorithms, Computation of DFT, Goertzel’s Algorithm, Decimation in frequency algorithms, FFT algorithms for N (a composite number), chirp Z-transform algorithm.

Implementation of digital filters

Signal flow graph representation, Realization of IIR & FIR systems, direct form, Transposed form, Parallel form, Cascade form, Lattice structure for IIR and FIR filters, Parameter quantization effect.

Digital filter design techniques

Design of IIR digital filters using Impulse-invariant and bilinear transformation methods, Design of FIR filter using Windowing methods, Design examples.