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

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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  • 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