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.)