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This document discusses noise reduction using an adaptive filter. It proposes using a recursive least mean square (RLS) adaptive algorithm to design and simulate an adaptive filter for noise reduction. The RLS algorithm uses averages of both data and correction terms to update the tap weights of the adaptive noise reduction controller for a speech signal. This adaptive filtering approach is intended to improve noise reduction performance compared to conventional fixed filters. The paper aims to analyze the

Author

wako safayi

Language

EN