A robust MINT equalization algorithm based on near-common zero concept

Mehdi Bekrani; Andy W.H. Khong

doi:10.1109/IranianCEE.2017.7985321

A robust MINT equalization algorithm based on near-common zero concept

Mehdi Bekrani, Andy W.H. Khong

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

2 Citations (Scopus)

Abstract

In this paper we investigate the problem of near-common zero in the MINT equalization algorithm. We assume an unknown source signal is received by several microphones so that a single-input-multiple-output system is to be equalized by MINT to recover the source signal. We then propose an improved regularization procedure to address the common zero and near-common zero problems associated with MINT in a noisy environment.

Original language	English
Title of host publication	2017 25th Iranian Conference on Electrical Engineering, ICEE 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1685-1690
Number of pages	6
ISBN (Electronic)	9781509059638
DOIs	https://doi.org/10.1109/IranianCEE.2017.7985321
Publication status	Published - Jul 19 2017
Externally published	Yes
Event	25th Iranian Conference on Electrical Engineering, ICEE 2017 - Tehran, Iran, Islamic Republic of Duration: May 2 2017 → May 4 2017

Publication series

Name	2017 25th Iranian Conference on Electrical Engineering, ICEE 2017

Conference

Conference	25th Iranian Conference on Electrical Engineering, ICEE 2017
Country/Territory	Iran, Islamic Republic of
City	Tehran
Period	5/2/17 → 5/4/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

ASJC Scopus Subject Areas

Electrical and Electronic Engineering
Control and Optimization
Energy Engineering and Power Technology

Keywords

Dereverberation
Equalization
Near-common zero
Regularization
SIMO system

Access to Document

10.1109/IranianCEE.2017.7985321

Cite this

Bekrani, M., & Khong, A. W. H. (2017). A robust MINT equalization algorithm based on near-common zero concept. In 2017 25th Iranian Conference on Electrical Engineering, ICEE 2017 (pp. 1685-1690). Article 7985321 (2017 25th Iranian Conference on Electrical Engineering, ICEE 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IranianCEE.2017.7985321

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abstract = "In this paper we investigate the problem of near-common zero in the MINT equalization algorithm. We assume an unknown source signal is received by several microphones so that a single-input-multiple-output system is to be equalized by MINT to recover the source signal. We then propose an improved regularization procedure to address the common zero and near-common zero problems associated with MINT in a noisy environment.",

keywords = "Dereverberation, Equalization, Near-common zero, Regularization, SIMO system",

author = "Mehdi Bekrani and Khong, {Andy W.H.}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 25th Iranian Conference on Electrical Engineering, ICEE 2017 ; Conference date: 02-05-2017 Through 04-05-2017",

year = "2017",

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day = "19",

doi = "10.1109/IranianCEE.2017.7985321",

language = "English",

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Bekrani, M & Khong, AWH 2017, A robust MINT equalization algorithm based on near-common zero concept. in 2017 25th Iranian Conference on Electrical Engineering, ICEE 2017., 7985321, 2017 25th Iranian Conference on Electrical Engineering, ICEE 2017, Institute of Electrical and Electronics Engineers Inc., pp. 1685-1690, 25th Iranian Conference on Electrical Engineering, ICEE 2017, Tehran, Iran, Islamic Republic of, 5/2/17. https://doi.org/10.1109/IranianCEE.2017.7985321

A robust MINT equalization algorithm based on near-common zero concept. / Bekrani, Mehdi; Khong, Andy W.H.
2017 25th Iranian Conference on Electrical Engineering, ICEE 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1685-1690 7985321 (2017 25th Iranian Conference on Electrical Engineering, ICEE 2017).

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

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T1 - A robust MINT equalization algorithm based on near-common zero concept

AU - Bekrani, Mehdi

AU - Khong, Andy W.H.

PY - 2017/7/19

Y1 - 2017/7/19

N2 - In this paper we investigate the problem of near-common zero in the MINT equalization algorithm. We assume an unknown source signal is received by several microphones so that a single-input-multiple-output system is to be equalized by MINT to recover the source signal. We then propose an improved regularization procedure to address the common zero and near-common zero problems associated with MINT in a noisy environment.

AB - In this paper we investigate the problem of near-common zero in the MINT equalization algorithm. We assume an unknown source signal is received by several microphones so that a single-input-multiple-output system is to be equalized by MINT to recover the source signal. We then propose an improved regularization procedure to address the common zero and near-common zero problems associated with MINT in a noisy environment.

KW - Dereverberation

KW - Equalization

KW - Near-common zero

KW - Regularization

KW - SIMO system

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BT - 2017 25th Iranian Conference on Electrical Engineering, ICEE 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 25th Iranian Conference on Electrical Engineering, ICEE 2017

Y2 - 2 May 2017 through 4 May 2017

ER -

A robust MINT equalization algorithm based on near-common zero concept

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this