This course covers the fundamentals of detection and estimation theory for statistical signal processing. The topics include hypothesis testing theory, signal detection theory for both deterministic and random signals, signal estimation theory with various optimal estimators for both deterministic and random parameters, and their properties and performance analysis. It inlcudes Cramer-Rao bounds and Kalman filtering etc.
HRD 콘텐츠
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