Algorithms for identifying clusters of near-common zeros in multichannel blind system identification and equalization

Andy W.H. Khong; Xiang Shawn Lin; Patrick A. Naylor

doi:10.1109/ICASSP.2008.4517628

Algorithms for identifying clusters of near-common zeros in multichannel blind system identification and equalization

Andy W.H. Khong, Xiang Shawn Lin, Patrick A. Naylor

Imperial College London

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

23 Citations (Scopus)

Abstract

Blind system identification (BSI) and equalization algorithms have been applied to multichannel systems with high order such as found in acoustic impulse responses. Studies on the performance of such algorithms in the presence of near-common zeros have been limited to low order systems. In this work, we propose two high order clustering algorithms which efficiently extract clusters of near-common zeros within a specified pairwise distance in the z-plane. Using these algorithms, we then quantify the number of common zeros that exist in acoustic systems. In addition, we show how these algorithms can be applied to study of BSI and equalization algorithms in the presence of near-common zeros for such acoustic systems.

Original language	English
Title of host publication	2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Pages	389-392
Number of pages	4
DOIs	https://doi.org/10.1109/ICASSP.2008.4517628
Publication status	Published - 2008
Externally published	Yes
Event	2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP - Las Vegas, NV, United States Duration: Mar 31 2008 → Apr 4 2008

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)	1520-6149

Conference

Conference	2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Country/Territory	United States
City	Las Vegas, NV
Period	3/31/08 → 4/4/08

ASJC Scopus Subject Areas

Software
Signal Processing
Electrical and Electronic Engineering

Keywords

Acoustic array
Blind system identification
Channel equalization
Near-common zeros

Access to Document

10.1109/ICASSP.2008.4517628

Cite this

Khong, A. W. H., Lin, X. S., & Naylor, P. A. (2008). Algorithms for identifying clusters of near-common zeros in multichannel blind system identification and equalization. In 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP (pp. 389-392). Article 4517628 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2008.4517628

Khong, Andy W.H. ; Lin, Xiang Shawn ; Naylor, Patrick A. / Algorithms for identifying clusters of near-common zeros in multichannel blind system identification and equalization. 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP. 2008. pp. 389-392 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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abstract = "Blind system identification (BSI) and equalization algorithms have been applied to multichannel systems with high order such as found in acoustic impulse responses. Studies on the performance of such algorithms in the presence of near-common zeros have been limited to low order systems. In this work, we propose two high order clustering algorithms which efficiently extract clusters of near-common zeros within a specified pairwise distance in the z-plane. Using these algorithms, we then quantify the number of common zeros that exist in acoustic systems. In addition, we show how these algorithms can be applied to study of BSI and equalization algorithms in the presence of near-common zeros for such acoustic systems.",

keywords = "Acoustic array, Blind system identification, Channel equalization, Near-common zeros",

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note = "2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP ; Conference date: 31-03-2008 Through 04-04-2008",

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Khong, AWH, Lin, XS & Naylor, PA 2008, Algorithms for identifying clusters of near-common zeros in multichannel blind system identification and equalization. in 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP., 4517628, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 389-392, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, Las Vegas, NV, United States, 3/31/08. https://doi.org/10.1109/ICASSP.2008.4517628

Algorithms for identifying clusters of near-common zeros in multichannel blind system identification and equalization. / Khong, Andy W.H.; Lin, Xiang Shawn; Naylor, Patrick A.
2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP. 2008. p. 389-392 4517628 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Algorithms for identifying clusters of near-common zeros in multichannel blind system identification and equalization

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AU - Lin, Xiang Shawn

AU - Naylor, Patrick A.

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N2 - Blind system identification (BSI) and equalization algorithms have been applied to multichannel systems with high order such as found in acoustic impulse responses. Studies on the performance of such algorithms in the presence of near-common zeros have been limited to low order systems. In this work, we propose two high order clustering algorithms which efficiently extract clusters of near-common zeros within a specified pairwise distance in the z-plane. Using these algorithms, we then quantify the number of common zeros that exist in acoustic systems. In addition, we show how these algorithms can be applied to study of BSI and equalization algorithms in the presence of near-common zeros for such acoustic systems.

AB - Blind system identification (BSI) and equalization algorithms have been applied to multichannel systems with high order such as found in acoustic impulse responses. Studies on the performance of such algorithms in the presence of near-common zeros have been limited to low order systems. In this work, we propose two high order clustering algorithms which efficiently extract clusters of near-common zeros within a specified pairwise distance in the z-plane. Using these algorithms, we then quantify the number of common zeros that exist in acoustic systems. In addition, we show how these algorithms can be applied to study of BSI and equalization algorithms in the presence of near-common zeros for such acoustic systems.

KW - Acoustic array

KW - Blind system identification

KW - Channel equalization

KW - Near-common zeros

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Khong AWH, Lin XS, Naylor PA. Algorithms for identifying clusters of near-common zeros in multichannel blind system identification and equalization. In 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP. 2008. p. 389-392. 4517628. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP.2008.4517628

Algorithms for identifying clusters of near-common zeros in multichannel blind system identification and equalization

Abstract

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Conference

ASJC Scopus Subject Areas

Keywords

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