18-752: Estimation, Detection and Identification

Units: 12

Study of estimation, detection, and identification methods. Detection: Binary and M-ary hypothesis testing. Neyman-Pearson detection. Invariance. Matched filter, CFAR matched filter and variants. Bayes detection. Likelihood ratios. Estimation: Maximum-likelihood estimation. Bayes estimation. Sufficiency and invariance. Cramer-Rao bounds. Estimation with the linear statistical model. Minimum mean square error. Recursive estimation. Kalman-Bucy filter. Identification: ML identification of ARMA models, signal subspaces, parameters in sinusoidal models and Machine learning methods. Topics may vary.

Prerequisites: 18-751 and senior or graduate standing


Signals and Systems, Signal Processing and Communications

Last modified on 2006-03-27

Current session:

This course is currently being offered.

Past semesters:

F14, S14, S13, S11, S10, S09, S08, S07, S06, S05, S04, S03, S02, S01, S00, S98, S97