Geometric source separation method using nonnegative matrix factorization and interference suppression

Seokjin Lee; Sang Ha Park; Koeng Mo Sung

doi:10.1587/transfun.E94.A.2442

Geometric source separation method using nonnegative matrix factorization and interference suppression

Seokjin Lee, Sang Ha Park, Koeng Mo Sung

School of Electronics Engineering

Seoul National University

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

Abstract

In this paper, a geometric source separation system using nonnegative matrix factorization (NMF) is proposed. The adaptive beamformer is the best method for geometric source separation, but it suffers from a "target signal cancellation" problem in multi-path situations. We modified the HALS-NMF algorithm for decomposition into bases, and developed an interference suppression module in order to cancel the interference bases. A performance comparison between the proposed and subband GSC-RLS algorithm using a MATLAB ® simulation was executed; the results show that the proposed system is robust in multi-path situations.

Original language	English
Pages (from-to)	2442-2447
Number of pages	6
Journal	IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Volume	E94-A
Issue number	11
DOIs	https://doi.org/10.1587/transfun.E94.A.2442
State	Published - Nov 2011

Keywords

Acoustic source separation
Beamformer
Interference suppression
Multi-channel
Nonnegative matrix factorization

Access to Document

10.1587/transfun.E94.A.2442

Cite this

@article{b2a60fb23e83476f938c07de81e5e4a6,

title = "Geometric source separation method using nonnegative matrix factorization and interference suppression",

abstract = "In this paper, a geometric source separation system using nonnegative matrix factorization (NMF) is proposed. The adaptive beamformer is the best method for geometric source separation, but it suffers from a {"}target signal cancellation{"} problem in multi-path situations. We modified the HALS-NMF algorithm for decomposition into bases, and developed an interference suppression module in order to cancel the interference bases. A performance comparison between the proposed and subband GSC-RLS algorithm using a MATLAB {\textregistered} simulation was executed; the results show that the proposed system is robust in multi-path situations.",

keywords = "Acoustic source separation, Beamformer, Interference suppression, Multi-channel, Nonnegative matrix factorization",

author = "Seokjin Lee and Park, {Sang Ha} and Sung, {Koeng Mo}",

year = "2011",

month = nov,

doi = "10.1587/transfun.E94.A.2442",

language = "English",

volume = "E94-A",

pages = "2442--2447",

journal = "IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences",

issn = "0916-8508",

publisher = "Maruzen Co., Ltd/Maruzen Kabushikikaisha",

number = "11",

}

TY - JOUR

T1 - Geometric source separation method using nonnegative matrix factorization and interference suppression

AU - Lee, Seokjin

AU - Park, Sang Ha

AU - Sung, Koeng Mo

PY - 2011/11

Y1 - 2011/11

N2 - In this paper, a geometric source separation system using nonnegative matrix factorization (NMF) is proposed. The adaptive beamformer is the best method for geometric source separation, but it suffers from a "target signal cancellation" problem in multi-path situations. We modified the HALS-NMF algorithm for decomposition into bases, and developed an interference suppression module in order to cancel the interference bases. A performance comparison between the proposed and subband GSC-RLS algorithm using a MATLAB ® simulation was executed; the results show that the proposed system is robust in multi-path situations.

AB - In this paper, a geometric source separation system using nonnegative matrix factorization (NMF) is proposed. The adaptive beamformer is the best method for geometric source separation, but it suffers from a "target signal cancellation" problem in multi-path situations. We modified the HALS-NMF algorithm for decomposition into bases, and developed an interference suppression module in order to cancel the interference bases. A performance comparison between the proposed and subband GSC-RLS algorithm using a MATLAB ® simulation was executed; the results show that the proposed system is robust in multi-path situations.

KW - Acoustic source separation

KW - Beamformer

KW - Interference suppression

KW - Multi-channel

KW - Nonnegative matrix factorization

UR - http://www.scopus.com/inward/record.url?scp=80155170327&partnerID=8YFLogxK

U2 - 10.1587/transfun.E94.A.2442

DO - 10.1587/transfun.E94.A.2442

M3 - Article

AN - SCOPUS:80155170327

SN - 0916-8508

VL - E94-A

SP - 2442

EP - 2447

JO - IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

JF - IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

IS - 11

ER -

Geometric source separation method using nonnegative matrix factorization and interference suppression

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this