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A Novel Joint Block Diagonalization Algorithm for Convolutive BSS with Limited Constraint
ZHANG Wei-Tao *
School of Electronic Engineering, Xidian University, Xi'an 710071
*Correspondence author
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Funding: none
Opened online:15 December 2015
Accepted by: none
Citation: ZHANG Wei-Tao.A Novel Joint Block Diagonalization Algorithm for Convolutive BSS with Limited Constraint[OL]. [15 December 2015] http://en.paper.edu.cn/en_releasepaper/content/4670351
 
 
In this paper, the convolutive blind source separation (CBSS) via joint block diagonalization (JBD) technique is revisited to reduce the rigorous constraint. As is known that the CBSS signal model under the JBD framework is equivalent to an instantaneous mixture model, where the mixing matrix is almost always non-square. This considerably restricts the applicability of existing JBD algorithms in CBSS problem for non-square mixing cases. In this paper the nonunitary JBD problem is reformulated as a multicriteria optimization model, where the mixing matrix can be non-square. Moreover, by optimizing the proposed model the resulting algorithm can eliminate the degenerate solutions in nonunitary JBD. The simulation results show that the proposed algorithm outperforms the existing JBD algorithms in terms of separation accuracy and stability.
Keywords:Convolutive blind source separation (CBSS); Joint block diagonalization (JBD); multicriteria optimization; degenerate solution.
 
 
 

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