A Novel Floating Point Fast Confluence Adaptive Independent Component Analysis for Signal Processing Applications
نویسندگان
چکیده
منابع مشابه
A Novel Floating Point Fast Confluence Adaptive Independent Component Analysis for Signal Processing Applications
Independent component analysis (ICA) is a technique that separates the independent source signals from their mixtures by minimizing the statistical dependence between components. This paper presents a floating point implementation of a novel fast confluence adaptive independent component analysis (FCAICA) technique with reduced number of iterations that provides the high convergence speed. Fixe...
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ژورنال
عنوان ژورنال: Advances in Signal Processing
سال: 2013
ISSN: 2332-6883,2332-6891
DOI: 10.13189/asp.2013.010301