SPSA for noisy non-stationary blind source separation

G.H. Morison, T.S. Durrani

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

In this paper a novel application of the simultaneous perturbation stochastic approximation algorithm (SPSA) to the noisy non-stationary blind source separation problem is presented and described. The proposed approach demonstrates the algorithm with a second order cost function suitable for applications to non-stationary data. Some extensions to the algorithm that are currently being investigated are also described in the paper, and the algorithm performance is demonstrated via simulation.

Original languageEnglish
Pages285-288
Number of pages4
DOIs
Publication statusPublished - Apr 2003
Event2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). - Hong Kong, Hong Kong
Duration: 6 Apr 200310 Apr 2003

Conference

Conference2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).
CountryHong Kong
CityHong Kong
Period6/04/0310/04/03

Fingerprint

Blind source separation
Approximation algorithms
Cost functions

Keywords

  • SPSA
  • non-stationary
  • blind source separation
  • noisy
  • approximation algorithms
  • vectors
  • stochastic processes
  • source separation
  • signal processing
  • sensor arrays
  • management training
  • equations
  • cost function
  • blind source separation

Cite this

Morison, G. H., & Durrani, T. S. (2003). SPSA for noisy non-stationary blind source separation. 285-288. Paper presented at 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). , Hong Kong, Hong Kong. https://doi.org/10.1109/ICASSP.2003.1199925
Morison, G.H. ; Durrani, T.S. / SPSA for noisy non-stationary blind source separation. Paper presented at 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). , Hong Kong, Hong Kong.4 p.
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keywords = "SPSA, non-stationary, blind source separation, noisy, approximation algorithms , vectors , stochastic processes , source separation , signal processing , sensor arrays , management training, equations, cost function , blind source separation",
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Morison, GH & Durrani, TS 2003, 'SPSA for noisy non-stationary blind source separation' Paper presented at 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). , Hong Kong, Hong Kong, 6/04/03 - 10/04/03, pp. 285-288. https://doi.org/10.1109/ICASSP.2003.1199925

SPSA for noisy non-stationary blind source separation. / Morison, G.H.; Durrani, T.S.

2003. 285-288 Paper presented at 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). , Hong Kong, Hong Kong.

Research output: Contribution to conferencePaper

TY - CONF

T1 - SPSA for noisy non-stationary blind source separation

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AB - In this paper a novel application of the simultaneous perturbation stochastic approximation algorithm (SPSA) to the noisy non-stationary blind source separation problem is presented and described. The proposed approach demonstrates the algorithm with a second order cost function suitable for applications to non-stationary data. Some extensions to the algorithm that are currently being investigated are also described in the paper, and the algorithm performance is demonstrated via simulation.

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KW - blind source separation

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KW - approximation algorithms

KW - vectors

KW - stochastic processes

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KW - signal processing

KW - sensor arrays

KW - management training

KW - equations

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Morison GH, Durrani TS. SPSA for noisy non-stationary blind source separation. 2003. Paper presented at 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). , Hong Kong, Hong Kong. https://doi.org/10.1109/ICASSP.2003.1199925