An Overview of the Asymptotic Performance of the Family of the FastICA Algorithms
arXiv:1505.07008v12 citations
Originality Synthesis-oriented
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This work provides incremental theoretical insights for researchers in signal processing and machine learning, focusing on the specific domain of independent component analysis.
The paper tackles the problem of analyzing the asymptotic performance of various FastICA algorithm variants, presenting new closed-form expressions for their performance.
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.