Time-domain Convolutive Blind Separation Based on Alternative Least-squares

Zhang  Hua; Feng  Da-Zheng; Pang Ji-Yong

doi:10.3724/SP.J.1146.2009.00927

Volume 32 Issue 10

Dec. 2010

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Zhang Hua, Feng Da-Zheng, Pang Ji-Yong. Time-domain Convolutive Blind Separation Based on Alternative Least-squares[J]. Journal of Electronics & Information Technology, 2010, 32(10): 2506-2510. doi: 10.3724/SP.J.1146.2009.00927

Citation:

Zhang Hua, Feng Da-Zheng, Pang Ji-Yong. Time-domain Convolutive Blind Separation Based on Alternative Least-squares[J]. Journal of Electronics & Information Technology, 2010, 32(10): 2506-2510. doi: 10.3724/SP.J.1146.2009.00927

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Time-domain Convolutive Blind Separation Based on Alternative Least-squares

doi: 10.3724/SP.J.1146.2009.00927

Zhang Hua^{① 冯大政
,},
Feng Da-Zheng,
Pang Ji-Yong

Received Date: 2009-06-26
Rev Recd Date: 2010-05-24
Publish Date: 2010-10-19

Abstract

Abstract

Temporal correlation matrices of the convolutive-mixture signals possess the struture of tri-factor multiplication and so can be jointly diagonalized blockwise. Though cutting to pieces and then reprogramming of the 3-D matrix composed of a group of correlation matrices, an alternating and iterative approach is proposed to achieve the least-squares solutions and then to estimate the channel mixture matirx for realizing convolutive blind separation in time domain. Compared with traditional joint block-diagonalization algorithms, simulation results show that the proposed one has better and more stable separation performance irrespective of initial parameters. The dissimilarity index and Bark sepectral distortion are improved by 4.35 dB and 0.22 respectively.
- Signal processing,
- Convolutive blind source separation,
- Alternative least squares,
- Joint block-diagonalization

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References(1)

References

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