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

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3 Author(s)
Peng, Bo ; Dept. of Electron. & Electr. Eng., Univ. of Sheffield, Sheffield, UK ; Wei Liu ; Mandic, D.P.

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.

Published in:

Statistical Signal Processing Workshop (SSP), 2011 IEEE

Date of Conference:

28-30 June 2011

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