ELEC 310

Digital Signal Processing I

Units: 1.5, Hours: 3-0

Generation of discrete-time signals through the sampling process and their spectral representation. Mathematical representation and properties of digital signal processing (DSP) systems. Typical DSP systems, e.g., digital filters, and applications. The z transform and its relation to the Laurent series. Evaluation of the inverse z transform using complex series and contour integrals. Application of the z transform for representation and analysis of DSP systems. The processing of continuous time signals using DSP systems. The discrete-Fourier transform and the use of fast Fourier transforms for its evaluation. Introduction to the design of DSP systems.

Prerequisites: 260.

Undergraduate course in Electrical Engineering offered by the Department of Electrical and Computer Engineering in the Faculty of Engineering.