ECE 4624 - Digital Signal Processing & Filter Design
Analysis, design, and realization of digital filters. Discrete Fourier Transform algorithms, digital filter design procedures, coefficient quantization. Pre: C or better in 3704
Why take this course?
Digital filters and other signal processing algorithms have become a way of life, since many communication tasks have gone digital. This is clearly expressed by the commercial and consumer availability of products such as FFT-analyzers, coders, and digital video- and audio-disks and players. Many of our graduates will be (in-) directly working in these areas. It is imperative then that they can elect to be provided with an opportunity to familiarize themselves with the basic tools and methods.
Capstone Technical Elective for EE; Technical Elective for CPE
C- or better in 2014, 3704
The basic treatment of deterministic continuous and digital filter concepts (as in 3704) form the foundation upon which one builds the analysis and design of digital filters and signal processing algorithms.
Major Measurable Learning Objectives
evaluate the performance of a digital filter, in terms of its frequency response;
use Fast Fourier Transform techniques for the analysis of arbitrary signals;
demonstrate coefficient quantization effects in digital filters;
design digital filters using transformation techniques from analog designs;
design digital filters using windowing techniques;
design digital filters meeting given specifications;