EE 352 Signal Processing and Pattern Analysis
Study of signal processing techniques including data sampling, discrete-time filtering, spectral analysis, and convolution. Introduction to pattern analysis for description, recognition, and prediction of sensor signals. Applications of the techniques include sensor-based monitoring of diverse electrical systems. Two hours lecture and two hours laboratory.
Credits
3
Prerequisite
MATH 226 and
EE 301 (All prerequisites require a C- or higher.)