LMS-based algorithm for unbiased FIR filtering with noisy measurements

H. C. So

doi:10.1049/el:20010955

LMS-based algorithm for unbiased FIR filtering with noisy measurements

H. C. So

Department of Electrical Engineering

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

35 Citations (Scopus)

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.

Original language	English
Pages (from-to)	1418-1420
Journal	Electronics Letters
Volume	37
Issue number	23
DOIs	https://doi.org/10.1049/el:20010955
Publication status	Published - 8 Nov 2001

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title = "LMS-based algorithm for unbiased FIR filtering with noisy measurements",

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.",

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JO - Electronics Letters

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LMS-based algorithm for unbiased FIR filtering with noisy measurements

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