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 ...
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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