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A New FastICA Algorithm of Newton's Iteration

机译:牛顿迭代的新FastICA算法

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摘要

This paper introduces the basic theory of ICA and the FastICA algorithm.In order to increase the algorithm convergence rate and reduce the running time,the paper which is based on FastICA algorithm proposes an improved independent component analysis algorithm with Newton's iteration-the "Newton Type" iteration algorithm with third-order convergence.The simulation results of the image signal separation show that the improved algorithm have the same separate effect as conventional FastICA algorithm and can reduce the times of iterations.
机译:本文介绍了ICA的基本理论和FastICA算法。为了提高算法的收敛速度并减少运行时间,本文在FastICA算法的基础上提出了一种改进的具有牛顿迭代的独立分量分析算法-“牛顿类型”。图像信号分离的仿真结果表明,改进算法与常规FastICA算法具有相同的分离效果,可以减少迭代次数。

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