Digital Signal Processing

Catalog description

This course presents an overview of the nature of signals, the algorithms and techniques used to process those signals and the applications to which digital signal processing can be usefully put. Digital Signal Processing is concerned with developing and understanding of the concepts underlying digital signal processing. The concept, structure, organization and characteristics of signals are discussed with an examination of the spectrum of periodic signals and the frequency domain and the distinction between signal and noise, the causes of noise and the effects of noise and other factors on signal quality. Techniques for processing signals are examined including filtering and non-filtering processes. Architecture and algorithms for signal processing are presented; graphical and spectral analysis, fast Fourier transforms and the underlying concepts of digital signal processors. Example applications for digital signal processing are presented including communication signal processing, speech signal processing and sound signal processing. Prerequisites: ENS 3010 and MAT 1022