ECE Course Syllabus
ECE7251 Course Syllabus
Signal Detection and Estimation (3-0-3)
- Technical Interest
- Digital Signal Processing
- ECE 6601
- Catalog Description
- Detection theory and estimation theory and their application to communications and statistical signal processing problems.
- Hero, Notes for Class. (required) (comment: Notes from Al Hero of the University of Michigan
will be used instead of a textbook)
SPIs are a subset of the abilities a student will be able to demonstrate upon successfully completing the course.
- Topical Outline
Review of Stochastic Processes Detection Theory Statistical Hypothesis Testing Hypothesis testing in additive Gaussian noise Hypothesis testing in the presence of unknowns Sequential hypothesis testing Discrete-time Detection Theory Detection of known signals, unknown signals, and random signals Non-Gaussian detection Robust detection Continuous-time Detection Theory Matched filter receivers Detection over complicated channels Estimation Theory Estimation Theory Terminology Parameter Estimation Principles of parameter estimation Maximum likelihood estimation MAP estimation Least squares estimation Maximum entropy estimation Model order selection Signal Parameter Estimation Maximum likelihood estimation Prony's method Performance bounds Linear Signal Waveform Estimation Robust Estimation Current Topics in Detection and Estimation (Specific topics will vary) Importance Sampling Distributed Detection Expectation/Maximization Algorithm High-order Statistical Analysis
© 2022 Georgia Institute of Technology