LMS-based algorithm for unbiased FIR filtering with noisy measurements

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Original languageEnglish
Pages (from-to)1418-1420
Journal / PublicationElectronics Letters
Volume37
Issue number23
Publication statusPublished - 8 Nov 2001

Abstract

A computationally simple algorithm is developed for unbiased finite impulse response (FIR) filtering in the presence of white input and output noise, assuming that the power ratio of the interference is known. The estimation performance of the proposed method is contrasted with several conventional schemes under different signal conditions.