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- eec-650 - signal-detection-and-estimation
Cleveland State University Course Info
Cleveland, Ohio
Course Info
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EEC 650
Signal Detection And Estimation
The classical theory of detection and estimation of signals in noise. Bayesian hypothesis testing, minimax hypothesis testing, Neyman-Pearson hypothesis testing, composite hypothesis testing, signal detection in discrete time, sequential detection. Nonparametric and robust detection parameter estimation, Bayesian estimation, maximum likelihood estimation, Kalman-Bucy filtering, linear estimation, Wiener-Kolmogorov filtering, applications to communications.
Units: 4.0
Prerequisites:
EEC 512 - Probability & Stochastic Processes