Statistical Signal Processing

Statistical Signal Processing

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Covers fundamental approaches to designing optimal estimators and detectors of deterministic and random parameters and processes in noise, and includes analysis of their performance. Binary hypothesis testing: the Neyman-Pearson Theorem. Receiver operating characteristics. Deterministic versus rando…

Peyman Milanfar


    • Jul 31, 2012 LATEST EPISODE
    • infrequent NEW EPISODES
    • 1h 26m AVG DURATION
    • 18 EPISODES


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    Latest episodes from Statistical Signal Processing

    Composite Hypothesis Testing

    Play Episode Listen Later Jul 31, 2012


    Estimation

    Play Episode Listen Later Jul 23, 2012 90:25


    Estimation

    Play Episode Listen Later Jul 23, 2012 88:28


    Detection

    Play Episode Listen Later Jul 23, 2012 90:53


    Regression

    Play Episode Listen Later Jul 23, 2012 87:32


    Bayes LMMSE

    Play Episode Listen Later Jul 23, 2012 85:06


    Maximum Likelihood 2

    Play Episode Listen Later Jul 23, 2012 85:51


    Review, Detection Theory

    Play Episode Listen Later Jul 23, 2012 88:29


    Maximum Likelihood

    Play Episode Listen Later Jul 23, 2012 83:47


    Estimation in Linear Models

    Play Episode Listen Later Jul 23, 2012 86:48


    Perimeter Estimation

    Play Episode Listen Later Jul 23, 2012 88:03


    Cramer Rao Lower

    Play Episode Listen Later Jul 23, 2012 87:09


    Matched Filter

    Play Episode Listen Later Jul 23, 2012 84:23


    Binary Hypothesis Testing

    Play Episode Listen Later Jul 23, 2012 97:43


    Bayes Risk

    Play Episode Listen Later Jul 23, 2012 84:59


    Random Processes

    Play Episode Listen Later Jul 23, 2012 91:41


    Overview and Review

    Play Episode Listen Later Jul 23, 2012 82:21


    Chi-squared distribution

    Play Episode Listen Later Jul 23, 2012 60:42


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