This chapter introduces principles of adaptive filters and adaptive least mean square algorithm and illustrates how to apply the adaptive filters to solve real-world application problems such as ...
ELEC_ENG/COMP_ENG 395-0 (Probabilistic Systems) or ELEC_ENG 422-0 (Random Processes in Communication and Control I) recommended. Applications of adaptive filtering to speech processing and noise ...
CATALOG DESCRIPTION: discrete-time random process, second-order statistics, autoregressive and moving average processes, linear prediction, Wiener filter, stochastic gradient (Least Mean Square) ...
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