Blind preprocessing of multichannel feedforward ANC in frequency domain

Min Zhu; Huigang Wang; Guoyue Chen; Kenji Muto

doi:10.1587/transfun.E95.A.1615

Blind preprocessing of multichannel feedforward ANC in frequency domain

Min Zhu, Huigang Wang, Guoyue Chen, Kenji Muto

Research output: Contribution to journal › Article › peer-review

Abstract

It is shown that simple preprocessing on the reference signals in multichannel feedforward ANC system can improve the convergence performance of the adaptive ANC algorithm. A fast and efficient blind preprocessing algorithm in frequency domain is proposed to reduce the computational complexity even that the reference sensors are located far from the noise sources. The permutation problem at different frequency bin is also addressed and solved by an independent vector analysis algorithm. The basic principle and performance comparison are given to verify our conclusion.

Original language	English
Pages (from-to)	1615-1618
Number of pages	4
Journal	IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Volume	E95-A
Issue number	9
DOIs	https://doi.org/10.1587/transfun.E95.A.1615
Publication status	Published - 2012 Sept

Keywords

Blind preprocessing
Independent vector analysis
MFxLMS algorithm
Multichannel feedforward ANC

ASJC Scopus subject areas

Signal Processing
Computer Graphics and Computer-Aided Design
Electrical and Electronic Engineering
Applied Mathematics

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10.1587/transfun.E95.A.1615

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AU - Chen, Guoyue

AU - Muto, Kenji

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N2 - It is shown that simple preprocessing on the reference signals in multichannel feedforward ANC system can improve the convergence performance of the adaptive ANC algorithm. A fast and efficient blind preprocessing algorithm in frequency domain is proposed to reduce the computational complexity even that the reference sensors are located far from the noise sources. The permutation problem at different frequency bin is also addressed and solved by an independent vector analysis algorithm. The basic principle and performance comparison are given to verify our conclusion.

AB - It is shown that simple preprocessing on the reference signals in multichannel feedforward ANC system can improve the convergence performance of the adaptive ANC algorithm. A fast and efficient blind preprocessing algorithm in frequency domain is proposed to reduce the computational complexity even that the reference sensors are located far from the noise sources. The permutation problem at different frequency bin is also addressed and solved by an independent vector analysis algorithm. The basic principle and performance comparison are given to verify our conclusion.

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KW - Independent vector analysis

KW - MFxLMS algorithm

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Blind preprocessing of multichannel feedforward ANC in frequency domain

Abstract

Keywords

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