Reducing permutation error in subband-based convolutive blind separation

Author(s): B. Peng ; W. Liu ; D.P. Mandic
DOI: 10.1049/iet-spr.2011.0015

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Author(s): B. Peng ¹ ; W. Liu ¹ ; D.P. Mandic ²
- Affiliations: 1: Communications Research Group, Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK
  2: Communications and Signal Processing Research Group, Department of Electrical and Electronic Engineering, Imperial College London, London, UK
Source: Volume 6, Issue 1, February 2012, p. 34 – 44
DOI: 10.1049/iet-spr.2011.0015 , Print ISSN 1751-9675, Online ISSN 1751-9683

Subband-based blind source separation has great potential in solving the complicated convolutive mixing problem. However, its performance is largely affected by the permutation ambiguity problem during the synthesis stage. Researchers have suggested methods to correct the permutation by exploiting the correlation information between adjacent frequencies/subbands. An improved solution to this permutation problem is proposed based on a novel filter banks design method, which is based on a model that includes inter-subband correlation as part of the optimisation criterion. Simulation results show that a better subband permutation alignment result has been achieved, leading to improved separation performance.

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Reducing permutation error in subband-based convolutive blind separation

Reducing permutation error in subband-based convolutive blind separation

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