SPSA for noisy non-stationary blind source separation

G.H. Morison; T.S. Durrani

doi:10.1109/ICASSP.2003.1199925

SPSA for noisy non-stationary blind source separation

G.H. Morison, T.S. Durrani

Electronic And Electrical Engineering

Research output: Contribution to conference › Paper

2 Citations (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 language	English
Pages	285-288
Number of pages	4
DOIs	https://doi.org/10.1109/ICASSP.2003.1199925
Publication status	Published - Apr 2003
Event	2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). - Hong Kong, Hong Kong Duration: 6 Apr 2003 → 10 Apr 2003

Conference

Conference	2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).
Country/Territory	Hong Kong
City	Hong Kong
Period	6/04/03 → 10/04/03

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

Access to Document

10.1109/ICASSP.2003.1199925

Cite this

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title = "SPSA for noisy non-stationary blind source separation",

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. ",

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 ",

author = "G.H. Morison and T.S. Durrani",

year = "2003",

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doi = "10.1109/ICASSP.2003.1199925",

language = "English",

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AU - Durrani, T.S.

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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.

KW - SPSA

KW - non-stationary

KW - blind source separation

KW - noisy

KW - approximation algorithms

KW - vectors

KW - stochastic processes

KW - source separation

KW - signal processing

KW - sensor arrays

KW - management training

KW - equations

KW - cost function

KW - blind source separation

U2 - 10.1109/ICASSP.2003.1199925

DO - 10.1109/ICASSP.2003.1199925

M3 - Paper

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T2 - 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).

Y2 - 6 April 2003 through 10 April 2003

ER -

SPSA for noisy non-stationary blind source separation

Abstract

Conference

Keywords

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Cite this