- Department of Cybernetics
Theory and practice of estimating parameters for discrete-time signals embedded in noise. Develops mathematical theory in general and considers application to problems in radar, sonar, emitter location and communication systems. Emphasis is on development of optimal algorithms and assessment of their performance. Topics include: Cramer-Rao lower bound, minimum variance unbiased estimation, least squares estimation, maximum likelihood estimation, Bayesian estimation, and Wiener filtering.
Digital Signal Processing, Linear Algebra, Probability Theory.
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