Robust independent vector analysis based on exploiting phase continuity of the unmixing matrix

Liang, Y, Naqvi, SM and Chambers, JA (2012) Robust independent vector analysis based on exploiting phase continuity of the unmixing matrix

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Abstract

Independent vector analysis (IVA) is a recently proposed method to solve the permutation problem of frequency domain convolutive blind source separation (FD-CBSS). In IVA the single-variate nonlinear function of the traditional independent component analysis (ICA) is replaced by a multivariate nonlinear function to exploit the higher order dependencies between frequency bins and thereby mitigate the permutation problem. However, IVA can still be affected by a block permutation problem. In this paper, we therefore first analyse the reason for this behavior. Then to address this problem, a robust IVA (RIVA) method is proposed which is based on the phase continuity of the unmixing matrix. The experimental results confirm that the proposed method can successfully solve the block permutation problem of IVA. © 2012 IEEE.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Divisions :	Surrey research (other units)
Authors :	Name Email ORCID Liang, Y Naqvi, SM Chambers, JA j.a.chambers@surrey.ac.uk
Date :	12 November 2012
DOI :	10.1109/ISSPA.2012.6310568
Depositing User :	Symplectic Elements
Date Deposited :	17 May 2017 13:24
Last Modified :	23 Jan 2020 18:33
URI:	http://epubs.surrey.ac.uk/id/eprint/839102

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