Module PE1-3
Signal Detection Techniques
Deciding what was sent when all you have is noise: AR, MA and ARMA process models, the Bayes, minimax and Neyman-Pearson decision criteria, the Gaussian detection problem, matched filters, and CFAR detection.
5 topics ~48 h estimated learning time
Comes after—
Unlocks—
Sign in to keep your progress.
Ready to start
- PE1-3.1 Discrete-Time Random Processes
Core · 9 h
- PE1-3.2 Statistical Decision Theory
Core · 10 h
- PE1-3.3 The General Gaussian Problem
Core · 10 h
- PE1-3.4 Detection: Correlation & Matched Filter Receivers
Core · 10 h
- PE1-3.5 Adaptive Thresholding & CFAR Detection
Core · 9 h