Speed up ICA algorithm without loss of quality using DR-LCO algorithm

Authors:  M. Mahdikhani, M.H. Kahaei

Abstract:
We introduce a new algorithm to speed up the ICAalgorithm for blind source separation. In this technique, oscillations of the learning curve are first detected and then removed. This leads to making use of a larger step-size parameter and thus a faster ICA. Simulations results show that in average the proposed DR-LCO algorithm is at least three times faster than the ICA, while the quality of separated signals becomes even better.

Keywords:
Blind source separation
ICA algorithm
Learning curve

Published in: AEÜ-International Journal of Electronics and Communications (Volume 67, Issue 1, January 2013)

Publisher: Elsevier

ISSN Information: 1434-8411

Speed up ICA algorithm without loss of quality using DR-LCO algorithm

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