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Adaptive step size independent vector analysis for blind source separation

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3 Author(s)
Yanfeng Liang ; Advanced Signal Processing Group, Electronic and Electrical Engineering Department, Loughborough University, Leicester, UK ; Syed Mohsen Naqvi ; Jonathon A. Chambers

In this paper, a novel adaptive step size independent vector analysis (ASS-IVA) method is proposed for blind source separation. Independent vector analysis (IVA) can successfully solve the classical permutation problem in the blind source separation (BSS) field. In the ASS-IVA method the step size is adjusted during learning to enhance the convergence behavior of the conventional IVA algorithm. The experimental results confirm that the proposed method improves the convergence speed greatly as compared to the original IVA method, whilst retaining the excellent separation properties of the IVA method.

Published in:

2011 17th International Conference on Digital Signal Processing (DSP)

Date of Conference:

6-8 July 2011