Students will use the DFT to perform spectral analysis of signals.
Students will be able to design frequency selective IIR filters.
Students will be able to design arbitrary FIR filters
Students will be able to perform signal processing operations using MATLAB.
Students will be able to relate the poles and zeros of a discrete-time system to the frequency response.
Students will be able to choose anti-aliasing and anti-imaging filter characteristics, and appropriate sampling rates for converting a continuous-time signal to discrete time and vice versa.
Digital Signal Processing
E C E 431
( 3 Credits )
Sampling continuous-time signals and reconstruction of continuous-time signals from samples; spectral analysis of signals using the discrete Fourier transform; the fast Fourier transform and fast convolution methods; z-transforms; finite and infinite impulse response filter design techniques; signal flow graphs and introduction to filter implementation.
Department: ELECTRICAL AND COMPUTER ENGR College: College of Engineering