ENDP 350 Digital Signal Processing

This course deals with the digital processing of signals in time and frequency domains. The course covers the following topics: Basic Concepts: Sampling, aliasing, quantization, Digital Filters: Difference equations, impulse and step responses, frequency response, z-plane zeros and poles, FIR Filters: Design and analysis, linear phase characteristics, realizations, IIR Filters: Butterworth, Chebyshev, Elliptic, realizations, stability, transient analysis, Complex Filters: FIR, IIR, realizations, State Space Analysis: State space equations, state space parameters, Fourier Analysis: DFT, FFT DCT, spectrum, spectrograph, cepstrum, Fourier Processing: Block diagram, Signal segmentation, overlapping, DSP Implementation: DSP chips, integer and floating point processors, errors, parallel processing, DSP Applications: Communications, audio, image.

Credits

3

Prerequisite

ENSS 300

Offered

Semester 1 and 2