Novel design of oversampled GDFT filter banks for application to subband based blind source separation

Bo Peng; Wei Liu; Danilo P. Mandic

doi:10.1109/SSP.2011.5967781

Novel design of oversampled GDFT filter banks for application to subband based blind source separation

Bo Peng, Wei Liu, Danilo P. Mandic

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

2 Citations (Scopus)

Abstract

Subband permutation alignment is critical to the successful operation of subband-based blind source separation. The inter-subband correlation information can be exploited to solve the permutation problem. In this paper, a novel design is proposed based on the over-sampled generalized DFT (GDFT) filter banks to further improve performance of the correlation-based method. It employs a model that includes inter-subband correlation as part of the optimization criterion, and relaxes the perfect-reconstruction condition due to an inherent characteristic of the convolutive BSS problem. As shown in simulations, improved performance is achieved in terms of both permutation alignment and overall separation result.

Original language	English
Title of host publication	2011 IEEE Statistical Signal Processing Workshop, SSP 2011
Pages	637-640
Number of pages	4
DOIs	https://doi.org/10.1109/SSP.2011.5967781
Publication status	Published - Jul 2011
Event	2011 IEEE Statistical Signal Processing Workshop, SSP 2011 - Nice, France Duration: 28 Jun 2011 → 30 Jun 2011

Publication series

Name	IEEE Workshop on Statistical Signal Processing Proceedings

Conference

Conference	2011 IEEE Statistical Signal Processing Workshop, SSP 2011
Country/Territory	France
City	Nice
Period	28/06/11 → 30/06/11

ASJC Scopus subject areas

Electrical and Electronic Engineering
Applied Mathematics
Signal Processing
Computer Science Applications

More information

10.1109/SSP.2011.5967781

Cite this

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title = "Novel design of oversampled GDFT filter banks for application to subband based blind source separation",

abstract = "Subband permutation alignment is critical to the successful operation of subband-based blind source separation. The inter-subband correlation information can be exploited to solve the permutation problem. In this paper, a novel design is proposed based on the over-sampled generalized DFT (GDFT) filter banks to further improve performance of the correlation-based method. It employs a model that includes inter-subband correlation as part of the optimization criterion, and relaxes the perfect-reconstruction condition due to an inherent characteristic of the convolutive BSS problem. As shown in simulations, improved performance is achieved in terms of both permutation alignment and overall separation result.",

author = "Bo Peng and Wei Liu and Mandic, {Danilo P.}",

year = "2011",

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doi = "10.1109/SSP.2011.5967781",

language = "English",

isbn = "9781457705700",

series = "IEEE Workshop on Statistical Signal Processing Proceedings",

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Peng, B, Liu, W & Mandic, DP 2011, Novel design of oversampled GDFT filter banks for application to subband based blind source separation. in 2011 IEEE Statistical Signal Processing Workshop, SSP 2011., 5967781, IEEE Workshop on Statistical Signal Processing Proceedings, pp. 637-640, 2011 IEEE Statistical Signal Processing Workshop, SSP 2011, Nice, France, 28/06/11. https://doi.org/10.1109/SSP.2011.5967781

Novel design of oversampled GDFT filter banks for application to subband based blind source separation. / Peng, Bo; Liu, Wei; Mandic, Danilo P.
2011 IEEE Statistical Signal Processing Workshop, SSP 2011. 2011. p. 637-640 5967781 (IEEE Workshop on Statistical Signal Processing Proceedings).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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Novel design of oversampled GDFT filter banks for application to subband based blind source separation

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