Digital Signal Processing

Catalog description

This course covers the techniques of modern digital signal processing that are fundamental to a wide variety of application areas. The course covers the mathematical basis of discrete-time signal analysis, discusses the theory and implementation of fast Fourier transform algorithms, and discusses the design and implementation of digital filters. The coverage of the fundamentals is complemented with introductory treatments of several advanced techniques including linear prediction, adaptive filtering, and two-dimensional signal processing. The course concludes with a discussion of the application of digital signal processing techniques toward the solution of various types of practical problems. This course makes extensive use of MATLAB as an analysis, design, and visualization tool. Prerequisite(s): I ECE 371.