Course Schedule and Catalog

Long Title: DIGITAL SIGNAL PROCESSING

Department: Electrical & Computer Eng.

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Prerequisite(s): ELEC 301

Description: Provides a comprehensive framework for understanding and extending the theoretical foundations of deterministic discrete-time signals and systems. First presents a thorough coverage of discrete-time Linear Time-Invariant (LTI) systems concepts such as the convolution sum, the impulse response and system function, the frequency response, the Nyquist-Shannon sampling theorem and the discrete Fourier transform. These concepts are then extended to more advanced application areas such as digital filter design, adaptive filters, wavelets, image processing, and the use of the short-time Fourier transform for frequency spectrum analysis of discrete-time signals.