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A Fast Fixed-Point Algorithm Based on ICA

Wei Guo

Open publisher page 10 citations

Abstract

The fundamental problems of ICA(Independent Component Analysis) about the model definition and mathematical principles are given. Based on analysis of the existing algorithms, the FastICA is introduced. The convergence speed of FastICA is fast and the times of iterations is reduced from about 2 000 to 3~10 using FastICA. Finally, the experimental results show that the FastICA has good performance for blind source separation and robustness.

About this research paper

What this paper is about

The fundamental problems of ICA(Independent Component Analysis) about the model definition and mathematical principles are given. Based on analysis of the existing algorithms, the FastICA is introduced. The convergence speed of FastICA is fast and the times of iterations is reduced from about 2 000 to 3~10 using FastICA. Finally, the experimental results show that the FastICA has good performance for blind source separation and robustness.

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OpenAlex reports 10 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The fundamental problems of ICA(Independent Component Analysis) about the model definition and mathematical principles are given. Based on analysis of the existing algorithms, the FastICA is introduced. The convergence speed of FastICA is fast and the times of iterations is reduced from about 2 000 to 3~10 using FastICA. Finally, the experimental results show that the FastICA has good performance for blind source separation and robustness.

Key concepts: FastICA, Independent component analysis, Robustness (evolution), Blind signal separation, Algorithm, Convergence (economics), Computer science, Mathematics

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