An Overview of the Asymptotic Performance of the Family of the FastICA Algorithms
Tianwen Wei
TL;DR
This paper reviews the asymptotic performance of various FastICA algorithm variants, providing new closed-form expressions to better understand their efficiency and limitations in independent component analysis.
Contribution
It introduces new closed-form expressions for the asymptotic performance of different FastICA variants, enhancing theoretical understanding.
Findings
Provides new closed-form expressions for FastICA performance
Summarizes asymptotic behavior of multiple FastICA variants
Improves theoretical insights into algorithm efficiency
Abstract
This contribution summarizes the results on the asymptotic performance of several variants of the FastICA algorithm. A number of new closed-form expressions are presented.
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Taxonomy
TopicsBlind Source Separation Techniques · Neural Networks and Applications · Spectroscopy and Chemometric Analyses