EC855 Detection and Estimation Theory
Course Name:
EC855 Detection and Estimation Theory
Programme:
M.Tech (CE)
Category:
Elective (Ele)
Credits (L-T-P):
(3-1-0) 4
Content:
Hypothesis Testing, Decision Criteria, Multiple Measurements, Multiple-Hypothesis Testing, Composite Hypothesis Testing, Asymptotic Error Rate of LRT for Simple Hypothesis Testing, SPRT, Detection of Known Signals in AWGN, Detection of Known Signals in colored Noise, Maximum SNR Criterion, Detection of Signals with Unknown Parameters, Estimation of Parameters, Bayes Estimates, Estimation of Non-random Parameters, Properties of Estimators, LMSE, Reproducing Densities, Performance Analysis, Channel Estimation, Synchronization and Equalization strategies for Wireless Systems, Pattern classification with known densities, Supervised and Non-supervised Learning, Feature selection.
References:
Srinath, Rajasekaran, and Viswanathan, “Introduction to Statistical Signal Processing with Applications”, Pearson
India, 2003.
Bernard C. Levy, “Principles of Signal Detection and Parameter Estimation”, Springer Publications, 2010.
Sam Shanmugan & A M Breipohl, “Random Signals: Detection, Estimation and Data Analysis”, John Wiley &
Sons, 1988.
Steven M. Kay, “Fundamentals of Statistical Signal Processing: Estimation Theory (Volume-1)”, Pearson India,
First Impression, 2010.
Steven M. Kay, “Fundamentals of Statistical Signal Processing: Detection Theory (Volume-II)”, Pearson India,
First Impression, 2010.
Department:
Electronics and Communication Engineering(ECE)