Polar coordinate based nonlinear function for frequency-domain blind source separation

Hiroshi Sawada; Ryo Mukai; Shoko Araki; Shoji Makino

Polar coordinate based nonlinear function for frequency-domain blind source separation

Hiroshi Sawada^*, Ryo Mukai, Shoko Araki, Shoji Makino

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

52 Citations (Scopus)

Abstract

This paper presents a new type of nonlinear function for independent component analysis to process complex-valued signals, which is used in frequency-domain blind source separation. The new function is based on the polar coordinates of a complex number, whereas the conventional one is based on the Cartesian coordinates. The new function is derived from the probability density function of frequency-domain signals that are assumed to be independent of the phase. We show that the difference between the two types of functions is in the assumed densities of independent components. Experimental results for separating speech signals show that the new nonlinear function behaves better than the conventional one.

Original language	English
Pages (from-to)	I/1001-I/1004
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	1
Publication status	Published - 2002
Externally published	Yes
Event	2002 IEEE International Conference on Acustics, Speech, and Signal Processing - Orlando, FL, United States Duration: 2002 May 13 → 2002 May 17

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Cite this

@article{89eeb4fd41b4463990f4fcd93269fcef,

title = "Polar coordinate based nonlinear function for frequency-domain blind source separation",

abstract = "This paper presents a new type of nonlinear function for independent component analysis to process complex-valued signals, which is used in frequency-domain blind source separation. The new function is based on the polar coordinates of a complex number, whereas the conventional one is based on the Cartesian coordinates. The new function is derived from the probability density function of frequency-domain signals that are assumed to be independent of the phase. We show that the difference between the two types of functions is in the assumed densities of independent components. Experimental results for separating speech signals show that the new nonlinear function behaves better than the conventional one.",

author = "Hiroshi Sawada and Ryo Mukai and Shoko Araki and Shoji Makino",

year = "2002",

language = "English",

volume = "1",

pages = "I/1001--I/1004",

journal = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

issn = "1520-6149",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2002 IEEE International Conference on Acustics, Speech, and Signal Processing ; Conference date: 13-05-2002 Through 17-05-2002",

}

TY - JOUR

T1 - Polar coordinate based nonlinear function for frequency-domain blind source separation

AU - Sawada, Hiroshi

AU - Mukai, Ryo

AU - Araki, Shoko

AU - Makino, Shoji

PY - 2002

Y1 - 2002

N2 - This paper presents a new type of nonlinear function for independent component analysis to process complex-valued signals, which is used in frequency-domain blind source separation. The new function is based on the polar coordinates of a complex number, whereas the conventional one is based on the Cartesian coordinates. The new function is derived from the probability density function of frequency-domain signals that are assumed to be independent of the phase. We show that the difference between the two types of functions is in the assumed densities of independent components. Experimental results for separating speech signals show that the new nonlinear function behaves better than the conventional one.

AB - This paper presents a new type of nonlinear function for independent component analysis to process complex-valued signals, which is used in frequency-domain blind source separation. The new function is based on the polar coordinates of a complex number, whereas the conventional one is based on the Cartesian coordinates. The new function is derived from the probability density function of frequency-domain signals that are assumed to be independent of the phase. We show that the difference between the two types of functions is in the assumed densities of independent components. Experimental results for separating speech signals show that the new nonlinear function behaves better than the conventional one.

UR - http://www.scopus.com/inward/record.url?scp=17544395704&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=17544395704&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:17544395704

SN - 1520-6149

VL - 1

SP - I/1001-I/1004

JO - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

JF - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

T2 - 2002 IEEE International Conference on Acustics, Speech, and Signal Processing

Y2 - 13 May 2002 through 17 May 2002

ER -

Polar coordinate based nonlinear function for frequency-domain blind source separation

Abstract

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this