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Two basic approaches to adaptive signal processing are in common use. The first and most direct involves substituting data-derived estimates of signal and noise autocorrelations into the standard Wiener-Hopf equation. The second uses a stochastic algorithm, such as the LMS, to minimize the mean square error directly.
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