ELEC 6000 - Statistical Signal Processing

The objective of this course is to present a systematic coverage of statistical signal processing methods which are fundamental for processing, identifying and classifying stochastically (randomly) generated data sequences. Emphasis will be given to methods which resist data outliers. Important applications include communcations and biological systems. Prereq: ELEC 5617 or consent of instructor. Max hours: 3 Credits. Semester Hours: 3 to 3