Pdf Specs
Exp	Detection and Estimation Theory Simulation Trainer	Model
1	Unit I : Statistical Decision Theory Introduction, Bayes’ Criterion-Binary Hypothesis Testing, M-ary Hypothesis Testing, Minimax Criterion, Neyman-Pearson Criterion, Composite Hypothesis Testing, Sequential Detection.	DESTIMA100
2	Unit II : Parameter Estimation-I Introduction, Some Criteria for Good Estimators, Maximum Likelihood Estimation, Generalized Likelihood Ratio Test, Bayes’ Estimation
3	Unit III : Parameter Estimation-II Cramer-Rao Inequality, Multiple Parameter Estimation, Best Linear Unbiased Estimator, Least-Square Estimation, Recursive Least-Square Estimator.
4	Unit IV : Filtering Introduction, Linear Transformation and Orthogonality Principle, Wiener Filters, Discrete Wiener Filters, Kalman Filter.
5	Unit V : Detection and Parameter Estimation Introduction, Signal Representation, Binary Detection, M-ary Detection, Linear Estimation.
6	Unit VI : Detection Theory in Radar Introduction, Radar Elementary concepts- Range, Range Resolution, and Unambiguous Range, Doppler Shift, Principles of Adaptive CFAR Detection- Target Models, Review of Some CFAR Detectors.