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EECE 565: Signal Estimation and Detection

Electrical & Computer Engineer · 4 credits · Electrical&ComputerEngineering

This course introduces the fundamental principles underlying the development and analysis of signal estimation and detection, which involve processing information-bearing signals to make inferences about the information that they contain. The course will apply this framework to problems in communications, radar, control, signal processing, and related areas. Topics include minimum variance unbiased estimators, the Cramer-Rao lower bound, maximum likelihood estimation, Bayesian estimation, dynamic parameter estimation and Kalman filtering, advanced hypothesis testing, generalized likelihood ratio testing.

Offered in 1 of the 26 listed terms (Spring 2027).

Prerequisites

EECE 501 and EECE 502

Prerequisite tree

Each course's own prerequisites, down to the first courses in the chain.

From Banner's catalog for Spring 2027. Banner lists only the requisites it enforces, so check the catalog entry too.

Required by (0)

No course lists it as a prerequisite.

Syllabi and course websites

None listed yet.

Every offering in the listed terms (2 sections)

TermSecCRNTypeMeetsInstructorEnrolledDelivery
Spring 2027023303LectureMW 6:30pm-8:20pm · KB 213Staff0/15Face to Face Instruction
Spring 2027023304LectureMW 6:30pm-8:20pm · ONLINE SYNCStaff0/15Distance Instr-OnLine