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May 15, 2024
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Undergraduate Bulletin 2006-2008 [Archived Catalog]
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ECE 589 - State Estimation and Parameter Identification of Stochastic Systems Introduction to point estimation, least squares, Bayes risk, and maximum likelihood. Optimum mean-square recursive estimation for nondynamic stochastic systems. State estimation for discrete-time and continuous-time dynamic systems. Parameter identification of stochastic systems using maximum livelihood. Stochastic approximation, least squares, and random search algorithms.
Preparation for Course P: 302.
Cr. 3.
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