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 filers: Difference quotations, 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 segmentations, 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