Improvement of ICA in Noisy Environment
H. Nakadaira and S. Wada (Japan)
Keywords
Adaptive Filters, Signal Noise Control,Independent Component Analysis
Abstract
In this paper, a robust ICA algorithm in noisy
environment is investigated to improve the convergence
and separation capabilities of the basic ICA algorithm.
First, in order to improve the convergence characteristics,
a parameter used in the basic ICA algorithm is selected as
a time function of slowly decreased scheme. Then the
scaling process is applied to the elements of iterated
matrix. Further, a generalized spectrum subtraction
method is used to reduce the effect of noise and to
improve the signal source separability of the algorithm.
The effectiveness of improvement of the method is
demonstrated with several signals in the simulations.
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