On the generalization of blind source separation algorithms from instantaneous to convolutive mixtures

Tiemin Mei; A. Mertins; Fuliang Yin

doi:10.1109/SAM.2008.4606917

On the generalization of blind source separation algorithms from instantaneous to convolutive mixtures

Tiemin Mei, A. Mertins, Fuliang Yin

Institute of Signal Processing

3 Citations (Scopus)

Abstract

Many convolutive blind source separation (BSS) approaches are generalized from instantaneous BSS methods in either time or frequency domain. In this paper, we establish in a general way the inner relationship between the time-domain instantaneous BSS and the frequency-domain convolutive BSS. From this point of view, the time-domain approaches for instantaneous mixture separation are generalized to those for convolutive mixture separation in the frequency domain. Two examples are given to illustrate the feasibility of the proposed approach.

Original language	English
Title of host publication	2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop
Number of pages	5
Publisher	IEEE
Publication date	01.07.2008
Pages	482-486
Article number	4606917
ISBN (Print)	978-1-4244-2240-1
ISBN (Electronic)	978-1-4244-2241-8
DOIs	https://doi.org/10.1109/SAM.2008.4606917
Publication status	Published - 01.07.2008
Event	5th IEEE Sensor Array and Multichannel Signal Processing Workshop - Darmstadt, Germany Duration: 21.07.2008 → 23.07.2008 Conference number: 73755

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/SAM.2008.4606917

Cite this

@inproceedings{a4fe9df88de249d4baef2ab2d8ae5db4,

title = "On the generalization of blind source separation algorithms from instantaneous to convolutive mixtures",

abstract = "Many convolutive blind source separation (BSS) approaches are generalized from instantaneous BSS methods in either time or frequency domain. In this paper, we establish in a general way the inner relationship between the time-domain instantaneous BSS and the frequency-domain convolutive BSS. From this point of view, the time-domain approaches for instantaneous mixture separation are generalized to those for convolutive mixture separation in the frequency domain. Two examples are given to illustrate the feasibility of the proposed approach.",

author = "Tiemin Mei and A. Mertins and Fuliang Yin",

year = "2008",

month = jul,

day = "1",

doi = "10.1109/SAM.2008.4606917",

language = "English",

isbn = "978-1-4244-2240-1",

series = "IEEE Sensor Array and Multichannel Signal Processing Workshop",

publisher = "IEEE",

pages = "482--486",

booktitle = "2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop",

note = "5th IEEE Sensor Array and Multichannel Signal Processing Workshop ; Conference date: 21-07-2008 Through 23-07-2008",

}

Mei, T, Mertins, A & Yin, F 2008, On the generalization of blind source separation algorithms from instantaneous to convolutive mixtures. in 2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop., 4606917, IEEE Sensor Array and Multichannel Signal Processing Workshop, IEEE, pp. 482-486, 5th IEEE Sensor Array and Multichannel Signal Processing Workshop, Darmstadt, Hesse, Germany, 21.07.08. https://doi.org/10.1109/SAM.2008.4606917

On the generalization of blind source separation algorithms from instantaneous to convolutive mixtures. / Mei, Tiemin; Mertins, A.; Yin, Fuliang.
2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop. IEEE, 2008. p. 482-486 4606917 (IEEE Sensor Array and Multichannel Signal Processing Workshop).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

TY - GEN

T1 - On the generalization of blind source separation algorithms from instantaneous to convolutive mixtures

AU - Mei, Tiemin

AU - Mertins, A.

AU - Yin, Fuliang

N1 - Conference code: 73755

PY - 2008/7/1

Y1 - 2008/7/1

N2 - Many convolutive blind source separation (BSS) approaches are generalized from instantaneous BSS methods in either time or frequency domain. In this paper, we establish in a general way the inner relationship between the time-domain instantaneous BSS and the frequency-domain convolutive BSS. From this point of view, the time-domain approaches for instantaneous mixture separation are generalized to those for convolutive mixture separation in the frequency domain. Two examples are given to illustrate the feasibility of the proposed approach.

AB - Many convolutive blind source separation (BSS) approaches are generalized from instantaneous BSS methods in either time or frequency domain. In this paper, we establish in a general way the inner relationship between the time-domain instantaneous BSS and the frequency-domain convolutive BSS. From this point of view, the time-domain approaches for instantaneous mixture separation are generalized to those for convolutive mixture separation in the frequency domain. Two examples are given to illustrate the feasibility of the proposed approach.

UR - https://www.scopus.com/pages/publications/52949131026

U2 - 10.1109/SAM.2008.4606917

DO - 10.1109/SAM.2008.4606917

M3 - Conference contribution

SN - 978-1-4244-2240-1

T3 - IEEE Sensor Array and Multichannel Signal Processing Workshop

SP - 482

EP - 486

BT - 2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop

PB - IEEE

T2 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop

Y2 - 21 July 2008 through 23 July 2008

ER -

On the generalization of blind source separation algorithms from instantaneous to convolutive mixtures

Abstract

UN SDGs

Access to Document

Other files and links

Fingerprint

Blind separation of acoustic source signals in a reflective environment

Cite this

On the generalization of blind source separation algorithms from instantaneous to convolutive mixtures

Abstract

UN SDGs

Access to Document

Other files and links

Fingerprint

Projects

Blind separation of acoustic source signals in a reflective environment

Cite this