A Simple and Accurate ICA Algorithm for Separating Mixtures of Up to Four Independent Components

这份报纸用二的明确的关上的形式为独立部件分析(集成通信适配器) 介绍一个算法 -- ，三 -- 并且没有任何近似，四维的反对称的矩阵 exponentials，搜索方向和矩阵 exponentials 能基于是直接在每次重复计算了。另外，二个错误为在另外的工作被建立的四维的反对称的矩阵 exponentials 的表示被改正了。模拟证明算法快收敛并且能为多达四个独立部件的混合物比著名扩大 InfoMax 和 FastICA 算法完成更好的性能。

This paper introduces an algorithm for independent component analysis（ICA） using explicit closed forms of two-,threeand four-dimensional antisymmetric matrix exponentials,based on which both the search direction and matrix exponentials can be directly computed in each iteration without any approximation.In addition,two errors have been corrected for the representation of four-dimensional antisymmetric matrix exponentials that were established in other works.Simulations show that the algorithm converges fast and can achieve better performance than the well-known Extended InfoMax and FastICA algorithms for mixtures of up to four independent components.