EEC 263
Optimal & Adaptive Filtering
University of California Davis · UGRD · Fall 2026
1 section
Catalog description
Course Description: Geometric formulation of least-squares estimation problems. Theory and applications of optimum Wiener and Kalman filtering. MAP and maximum likelihood estimation of hidden Markov models, Viterbi algorithm. Adaptive filtering algorithms, properties and applications.
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001
Availability not recently verifiedClass #california_davis-3427Fall 2026UGRD4 credits
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