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

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

Overview

27 Scopus Citations

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Author(s)

H. C. So

Related Research Unit(s)

Department of Electrical Engineering

Detail(s)

Original language	English
Pages (from-to)	1418-1420
Journal / Publication	Electronics Letters
Volume	37
Issue number	23
Publication status	Published - 8 Nov 2001

Link(s)

DOI	DOI https://doi.org/10.1049/el:20010955 Final Published version
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Link to Scopus	https://www.scopus.com/record/display.uri?eid=2-s2.0-0035829589&origin=recordpage
Permanent Link	https://scholars.cityu.edu.hk/en/publications/publication(24940c1d-3725-4e8a-9242-e8d39423355d).html

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.