Media Storage Type : DVD-ROM
NPTEL Course Name : Signal Detection and Estimation Theory
NPTEL Subject Matter Expert : Dr. R. Sinha
NPTEL Co-ordinating Institute : IIT Guwahati
NPTEL Lecture Count : 52
Lecture Titles:
Lecture 1 - Introduction to Detection and Estimation
Lecture 2 - Module 1 Outline
Lecture 3 - Classical Unbiased Estimator
Lecture 4 - Bound and Fisher Information
Lecture 5 - CRLB for Transformed Parameter
Lecture 6 - CRLB for General Case
Lecture 7 - Linear Model and Applications
Lecture 9 - General Linear Model
Lecture 8 - Module 2 Outline
Lecture 10 - Sufficient Statistics
Lecture 11 - Determination of MVUE
Lecture 12 - Linear Unbiased Estimator
Lecture 13 - Module 3 Outline
Lecture 14 - Maximum Likelihood Estimation
Lecture 15 - MLE in General Cases
Lecture 16 - Properties of MLE
Lecture 17 - Module 4 Outline
Lecture 18 - Least Squares Estimation
Lecture 19 - Linear LSE
Lecture 20 - LSE: Geometrical Interpretation
Lecture 21 - Constrained LSE
Lecture 22 - Module 5 Outline
Lecture 23 - Bayesian Estimation
Lecture 24 - Properties of Bayesian Estimator
Lecture 25 - General Bayesian Estimator
Lecture 26 - Module 6 Outline
Lecture 27 - Linear Bayesian Estimator
Lecture 28 - Wiener Smoother
Lecture 29 - Wiener Filter
Lecture 30 - Wiener Predictor
Lecture 31 - Module 7 Outline
Lecture 32 - Hypothesis Testing
Lecture 33 - Gauss-Gauss Detection Problem
Lecture 34 - Bayesian Detector
Lecture 35 - Minimax Detector
Lecture 36 - Multiple Hypothesis Testing
Lecture 37 - Bayesian Composite Hypothesis Testing
Lecture 39 - Generalized Likelihood Ratio Test
Lecture 38 - Module 8 Outline
Lecture 40 - Non-Parametric Detection: Sign Detector
Lecture 42 - Sequential Detection
Lecture 41 - Module 9 Outline
Lecture 43 - Replica-Correlator Detector
Lecture 44 - Properties of Matched Filter
Lecture 45 - Computation of Performance
Lecture 46 - Generalized Matched Filter
Lecture 47 - Signal Detection in Colored Noise
Lecture 49 - Detection and Linear Model
Lecture 48 - Module 10 Outline
Lecture 50 - Energy Detector
Lecture 51 - Linear Model and Generalized Gaussian Detection
Lecture 52 - Assignments