EEC 264

Estimation & Detection of Signals in Noise

University of California Davis · UGRD · Fall 2026

1 section

Catalog description

Course Description: Introduction to parameter estimation and detections of signals in noise. Bayes and Neyman-Pearson likelihood-ratio tests for signal detection. Maximum-likelihood parameter estimation. Detection of known and Gaussian signals in white or colored noise. Applications to communications, radar, signal processing.

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Class #california_davis-3428Fall 2026UGRD4 credits

Days & times: No scheduled meeting time
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Instructor: Staff

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