ECE 672 - Signal Detection Theory

Institution:

University of Massachusetts-Dartmouth

Subject:

Electrical and Computer Engineering

Description:

3 hours lecture Prerequisites: ECE 521, 571 Fundamentals of detection theory. Topics include Bayes and Neyman-Pearson tests, composite hypothesis testing, nonparametric test, detection of known signals in Gaussian noise, detection of signals with random parameters in noise, multiple pulse detection of signals, generalized likelihood ratio test, Bayes and maximum likelihood estimators, comparison of communication systems, space-time processing, application to radar and sonar.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.umassd.edu

Phone Number:

(508) 999-8000

Regional Accreditation:

New England Association of Schools and Colleges

Calendar System:

Semester

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