More Web Proxy on the site http://driver.im/

article

On-line Convolutive Blind Source Separation of Non-Stationary Signals

Authors:

Clay SpenceAuthors Info & Claims

Journal of VLSI Signal Processing Systems, Volume 26, Issue 1-2

Pages 39 - 46

https://doi.org/10.1023/A:1008187132177

Published: 01 August 2000 Publication History

Abstract

We have shown previously that non-stationary signals recorded in a static multi-path environment can often be recovered by simultaneously decorrelating varying second order statistics. As typical sources are often moving, however, the multi-path channel is not static. We present here an on-line gradient algorithm with adaptive step size in the frequency domain based on second derivatives, which we refer to as multiple adaptive decorrelation (MAD). We compared the separation performance of the proposed algorithm to its off-line counterpart and to another decorrelation based on-line algorithm.

References

[1]

1. E. Weinstein, M. Feder, and A.V. Oppenheim, "Multi-Channel Signal Separation by Decorrelation," IEEE Trans. Spreech Audio Processing, vol. 1, no. 4, 1993, pp. 405-413.

[2]

2. S. Van Gerven and D. Van Compernolle, "Signal Separation by Symmetric Adaptive Decorrelation: Stability, Convergence, and Uniqueness," IEEE Trans. Signal Processing, vol. 43, no. 7, 1995, pp. 1602-1612.

Digital Library

[3]

3. K.-C. Yen and Y. Zhao, "Improvements on Co-Channel Separation using ADF: Low Complexity, Fast Convergence, and Generalization," in Proc. ICASSP 98, Seattle, WA, 1998, pp. 1025- 1028.

[4]

4. M. Kawamoto, "A Method of Blind Separation for Convolved Non-Stationary Signals," Neurocomputing, vol. 22, no. 1-3, 1998, pp. 157-171.

[5]

5. S. Van Gerven and D. Van Compernolle, "Signal Separation in a Symmetric Adaptive Noise Canceler by Output Decorrelation," in Proc. ICASSP 92, 1992, vol. IV, pp. 221-224.

[6]

6. D. Yellin and E. Weinstein, "Multichannel Signal Separation: Methods and Analysis," IEEE Trans. Signal Processing, vol. 44, no. 1, 1996, pp. 106-118.

Digital Library

[7]

7. H.-L.N. Thi and C. Jutten, "Blind Source Separation for Convolutive Mixtures," Signal Processing, vol. 45, no. 2, 1995, pp. 209-229.

Digital Library

[8]

8. V. Capdevielle, C. Serviere, and J.L. Lacoume, "Blind Separation of Wide-Band Sources in the Frequency Domain," in Proc. ICASSP 95, 1995, pp. 2080-2083.

[9]

9. S. Shamsunder and G. Giannakis, "Multichannel Blind Signal Separation and Reconstruction," IEEE Trans. Speech Audio Processing , vol. 5, no. 6, 1997, pp. 515-528.

[10]

10. S. Cruses and L. Castedo, "A Gauss-Newton Method for Blind Separation of Convolutive Mixtures," in Proc. ICASSP 98, Seattle, WA, 1998.

[11]

11. R. Lambert and A. Bell, "Blind Separation of Multiple Speakers in a Multipath Environment," in Proc. ICASSP 97, 1997, pp. 423-426.

[12]

12. S. Amari, S.C. Douglas, A. Cichocki, and A.A. Yang, "Multi-channel Blind Deconvolution Using the Natural Gradient," in Proc. 1st IEEE Workshop on Signal Processing App. Wireless Comm., 1997, pp. 101-104.

[13]

13. T. Lee, A. Bell, and R. Lambert, "Blind Separation of Delayed and Convolved Sources," in Proc. NIPS 96, 1997.

[14]

14. L. Parra, C. Spence, and B. De Vries, "Convolutive Blind Source Separation Based on Multiple Decorrelation," in IEEE Workshop on Neural Networks and Signal Processing, Cambridge, UK, September, 1998, also presented at 'Machines that Learn' Workshop, Snowbird, April 1998.

[15]

15. L. Parra and C. Spence, "Convolutive Blind Source Separation of Non-Stationary Sources," IEEE Trans. Speech Audio Processing , vol. 8, no. 3, pp. 320-327.

[16]

16. J. Principe, "Simultaneous Diagonalization in the Frequency Domain (SDIF) for Source Separation," in ICA'99, Cardoso, Jutten and Loubaton (Eds.), 1999, pp. 245-250.

[17]

17. K.-C Yen and Y. Zhao, "Adaptive Co-Channel Speech Separation and Recognition," IEEE Trans. Signal Processing, vol. 7, no. 2, 1999.

[18]

18. S. Amari, C.S. Douglas, A. Cichocki, and H.H. Yang, "Novel On-Line Adaptive Learning Algorithms for Blind Deconvolution Using the Natural Gradient Approach," in Proc. 11th IFAC Symposium on System Identification, Kitakyushu City, Japan, July 1997, vol. 3, pp. 1057-1062.

[19]

19. P. Smaragdis, "Blind Separation of Convolved Mixtures in the Frequency Domain," Neurocomputing, vol. 22, 1998, pp. 21-34.

[20]

20. T. Ngo and N. Bhadkamkar, "Adaptive Blind Separation of Audio Sources by a Physically Compact Device Using Second-Order Statistics," in ICA'99, Loubaton Cardoso, and Jutten (Eds.), 1999, pp. 257-260.

[21]

21. H. Sahlin and H. Broman, "Separation of Real-World Signals," Signal Processing, vol. 64, 1998, pp. 103-104.

Digital Library

[22]

22. P. Nelson, F. Orduna-Bustamante, and H. Hamada, "Inverse Filter Design and Equalization Zone in Multichannel Sound Reproduction," IEEE Trans. Speech Audio Processing, vol. 3, no. 3, 1995, pp. 185-192.

[23]

23. D. Brandwood, "A Complex Gradient Operator and Its Application in Adaptive Array Theory," IEE Proc., vol. 130, no. 1, 1983, pp. 11-16.

[24]

24. P.M. Peterson, "Simulating the Response of Multiple Microphones to a Single Acoustic Source in a Reverberant Room," J. Acoust. Soc. Am., vol. 80, no. 5, 1986, pp. 1527-1529.

Cited By

Pani DPani ARaffo L(2014)Real-time blind audio source separationThe Journal of Supercomputing10.1007/s11227-014-1252-470:3(1555-1576)Online publication date: 1-Dec-2014
https://dl.acm.org/doi/10.1007/s11227-014-1252-4
Routtenberg TTabrikian J(2009)MIMO-AR system identification and blind source separation for GMM-distributed sourcesIEEE Transactions on Signal Processing10.1109/TSP.2008.201182557:5(1717-1730)Online publication date: 1-May-2009
https://dl.acm.org/doi/10.1109/TSP.2008.2011825
Aïssa-El-Bey AAbed-Meraim KGrenier Y(2007)Blind audio source separation using sparsity based criterion for convolutive mixture caseProceedings of the 7th international conference on Independent component analysis and signal separation10.5555/1776684.1776727(317-324)Online publication date: 9-Sep-2007
https://dl.acm.org/doi/10.5555/1776684.1776727
Show More Cited By

Index Terms

On-line Convolutive Blind Source Separation of Non-Stationary Signals
1. Hardware
  1. Communication hardware, interfaces and storage
    1. Buses and high-speed links
    2. Signal processing systems

Recommendations

Blind source separation of convolutive mixtures
SSAP '96: Proceedings of the 8th IEEE Signal Processing Workshop on Statistical Signal and Array Processing (SSAP '96)

When a priori information about the propagation or the geometry of the array are not available, the model can be generalized to a blind source separation problem. It supposes the statistical independence of the sources and their non-Gaussianity. The ...
Convolutive blind source separation by fourth-order statistics
ICICS'09: Proceedings of the 7th international conference on Information, communications and signal processing

In this paper, we present a new method using fourthorder statistics for convolutive blind source separation. After a whitening process of the observed data, the separation of convolutive mixtures are transformed to find a semi-unitary demixing matrix. ...
Blind Source Separation of Postnonlinear Convolutive Mixture

In this paper, a novel solution is developed to solve blind source separation of postnonlinear convolutive mixtures. The proposed model extends the conventional linear instantaneous mixture model to include both convolutive mixing and postnonlinear ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Journal of VLSI Signal Processing Systems

Journal of VLSI Signal Processing Systems Volume 26, Issue 1-2

August 2000

177 pages

ISSN:0922-5773

Issue’s Table of Contents

Copyright © Copyright © 2000 Kluwer Academic Publishers.

Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 01 August 2000

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

7
Total Citations
View Citations
1
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 20 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Pani DPani ARaffo L(2014)Real-time blind audio source separationThe Journal of Supercomputing10.1007/s11227-014-1252-470:3(1555-1576)Online publication date: 1-Dec-2014
https://dl.acm.org/doi/10.1007/s11227-014-1252-4
Routtenberg TTabrikian J(2009)MIMO-AR system identification and blind source separation for GMM-distributed sourcesIEEE Transactions on Signal Processing10.1109/TSP.2008.201182557:5(1717-1730)Online publication date: 1-May-2009
https://dl.acm.org/doi/10.1109/TSP.2008.2011825
Aïssa-El-Bey AAbed-Meraim KGrenier Y(2007)Blind audio source separation using sparsity based criterion for convolutive mixture caseProceedings of the 7th international conference on Independent component analysis and signal separation10.5555/1776684.1776727(317-324)Online publication date: 9-Sep-2007
https://dl.acm.org/doi/10.5555/1776684.1776727
Servière CPham D(2006)Permutation correction in the frequency domain in blind separation of speech mixturesEURASIP Journal on Advances in Signal Processing10.1155/ASP/2006/752062006(177-177)Online publication date: 1-Jan-2006
https://dl.acm.org/doi/10.1155/ASP/2006/75206
Mei TYin F(2004)Blind separation of convolutive mixtures by decorrelationSignal Processing10.1016/j.sigpro.2004.07.02484:12(2297-2313)Online publication date: 1-Dec-2004
https://dl.acm.org/doi/10.1016/j.sigpro.2004.07.024
Lienhart RKozintsev IWehr SRowe LVin HPlagemann TShenoy PSmith J(2003)Universal synchronization scheme for distributed audio-video capture on heterogeneous computing platformsProceedings of the eleventh ACM international conference on Multimedia10.1145/957013.957067(263-266)Online publication date: 2-Nov-2003
https://dl.acm.org/doi/10.1145/957013.957067
Anemüller JKollmeier B(2003)Adaptive separation of acoustic sources for anechoic conditionsSpeech Communication10.1016/S0167-6393(02)00060-239:1-2(79-95)Online publication date: 1-Jan-2003
https://dl.acm.org/doi/10.1016/S0167-6393%2802%2900060-2

View Options

View options

Media

Figures

Other

Tables

View Issue’s Table of Contents