Digital Signal Processing | Department of Electrical Engineering

Digital Signal Processing

Discrete time signals and systems: Sequences; representation of signals on orthogonal basis; Sampling and reconstruction of signals; State Space representations.
Discrete systems: attributes, Z-Transform, Analysis of LSI systems, Frequency analysis, Inverse Systems, Discrete Fourier Transform (DFT), Fast Fourier Transform algorithm, Implementation of Discrete Time Systems.
Design of FIR Digital filters: Window method, Eigen based methods, Park-McClellan's method.
Design of IIR Digital Filters: All pass based design, Butterworth, Chebyshev and Elliptic Approximations; Low pass, Band pass, Band stop and High pass filters, Matched filters, CIC filter design. Effect of finite register length in FIR filter design.
Parametric and non-parametric spectral estimation. Introduction to Multirate signal processing. Application of DSP to Speech and Radar signal processing.

Course Code: 
EED305
Course Credits: 
4.00
Course Level: