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May 25, 2024
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ENGR 5631G - Advanced Estimation Theory Mathematics of estimation theory. Bayesian estimation and Minimum Mean Squared Error (MMSE) estimation. Minimum variance unbiased estimation. Cramer-Rao lower bound. Linear models. General minimum variance unbiased estimation. Best linear unbiased estimators. Maximum Likelihood (ML) estimation. General Bayesian estimators. Linear Bayesian estimator. Kalman filtering. Extension to complex data and parameters. Robust estimation. Distributed estimation. Decentralized signal processing. Real-world applications. Credit hours: 3 Credit restriction(s): ENGR 5630G
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