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2006•한국멀티미디어학회 국제학술대회Requires access

A MODIFIED FAST ALGORITHM OF INDEPENDENT COMPONENT ANALYSIS

Jiaxuan Yang, Jia Chuan-ying, Xiwei Feng, Guoyou Shi

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Abstract

Independent component analysis (ICA) is a statistical method for transforming an observed multidimensional random vector into components that are statistically as independent from each other as possible. In this paper we discuss the independent component analysis simply, then present a new algorithm for ICA based on FastICA algorithm, namely M-FastICA. The characteristic of M-FastICA algorithm is that only the Jacobian of first iteration is computed, which is used in latter iteration process. The M-FastICA reduces the number of iteration, improves the speed of convergence. Finally an illustration validated this method.

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What this paper is about

Independent component analysis (ICA) is a statistical method for transforming an observed multidimensional random vector into components that are statistically as independent from each other as possible. In this paper we discuss the independent component analysis simply, then present a new algorithm for ICA based on FastICA algorithm, namely M-FastICA. The characteristic of M-FastICA algorithm is that only the Jacobian of first iteration is computed, which is used in latter iteration process. The M-FastICA reduces the number of iteration, improves the speed of convergence. Finally an illustration validated this method.

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Available abstract

Independent component analysis (ICA) is a statistical method for transforming an observed multidimensional random vector into components that are statistically as independent from each other as possible. In this paper we discuss the independent component analysis simply, then present a new algorithm for ICA based on FastICA algorithm, namely M-FastICA. The characteristic of M-FastICA algorithm is that only the Jacobian of first iteration is computed, which is used in latter iteration process. The M-FastICA reduces the number of iteration, improves the speed of convergence. Finally an illustration validated this method.

Key concepts: FastICA, Independent component analysis, Algorithm, Mathematics, Convergence (economics), Component (thermodynamics), Multivariate random variable, Computer science

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