Signal Detection and Estimation
(3-0-0-3)
CMPE Degree: This course is N/A for the CMPE degree.
EE Degree: This course is N/A for the EE degree.
Lab Hours: 0 supervised lab hours and 0 unsupervised lab hours.
Technical Interest Groups / Course Categories: Digital Signal Processing
Course Coordinator:
Prerequisites: ECE 6601
Catalog Description
Detection theory and estimation theory and their application tocommunications and statistical signal processing problems.
Textbook(s)
Notes for ClassCourse Outcomes
Not Applicable
Strategic Performance Indicators (SPIs)
Not Applicable
Topic List
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