通过对独立分量分析算法的研究，介绍了该算法的基本模型及目前应用最广泛的快速定点ICA算法的数学原理．通过仿真试验结果表明，用该算法对随机混合的3幅图像进行盲分离，取得了理想的效果．-By independent component analysis algorithm, introduced the algorithm for the basic model and is currently the most widely used fast fixed-point ICA algorithm

盲源信号分离，快速高效的独立成分分析方法 希望对大家有用-Blind Source Separation, rapid and highly efficient method of independent component analysis for all of us hope that useful

独立向量分析（IVA）是对独立成分分析（ICA）算法的一种扩展，将ICA中的单变量成分扩展为多维变量成分，可有效避免卷积盲源分离过程中的排序模糊性问题。-Independent vector analysis (IVA), a multivariate extension of independent component analysis, tackles the convolutedly mixed blind source separation (BSS) problem in a wa

independent component analysis (ICA) is a computational method for separating a multivariate signal into additive subcomponents by assuming that the subcomponents are non-Gaussian signals and that they are all statistically independent from each othe