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SPSA for noisy non-stationary blind source separation

Morison, G.H. and Durrani, T.S. (2003) SPSA for noisy non-stationary blind source separation. In: 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2003-04-06 - 2003-04-10, Hong Kong.

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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.

Item type: Conference or Workshop Item (Paper)
ID code: 38842
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 , Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Related URLs:
    Depositing user: Pure Administrator
    Date Deposited: 30 Mar 2012 14:49
    Last modified: 17 Jul 2013 15:13
    URI: http://strathprints.strath.ac.uk/id/eprint/38842

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