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

General Education

Offered

  • Fall