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.
Full text not available in this repository. (Request a copy from the Strathclyde author)Official URL: http://dx.doi.org/10.1109/ICASSP.2003.1199925
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: | 04 Oct 2012 17:13 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/38842 |
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