E E 562
Detection and Estimation Theory (3) Detection decision theory, Bayes and Neyman-Pearson criteria, optimal receivers, classical estimation theory, signal-noise representations, optimum linear signal parameters estimation.
Detection and Estimation Theory (3)
General Education: None
Bachelor of Arts: None
Effective: Summer 2000
Prerequisite: E E 560
Note : Class size, frequency of offering, and evaluation methods will vary by location and instructor. For these details check the specific course syllabus.