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FastICA和RobustICA算法在盲源分离中的性能分析 被引量:18

Performance analysis of FastICA and RobustICA on blind sources separation
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摘要 首先简单介绍了FastICA和RobustICA这两种目前最为常用的盲源分离算法,并对这算法的目标函数以及优化算法进行了分析研究,进一步对这两种算法的稳健性及算法复杂度等方面的性能进行分析比较。总的来看,RobustICA算法的综合性能要优于FastICA算法。 This paper firstly introduced FastICA and RobustICA algorithms, and then researched the objective functions and optimization algorithms of these two algorithms. Furthermore, it analyzed and compared the performance of these two algorithms about robustness and computation complexity. As a result, the general performance of RobustICA is better than FastICA.
出处 《计算机应用研究》 CSCD 北大核心 2014年第1期95-98,119,共5页 Application Research of Computers
关键词 独立分量分析 盲源分离 FASTICA RobustICA 峭度 负熵 independent component analysis(ICA) blind sources separation FastICA RobustICA kurtosis negentropy
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