独立分量分析及其应用研究

Research on Independent Component Analysis and Its Application

独立分量分析是近年来兴起的一种高效的信号处理方法,主要解决的问题是从观测到的混合信号中分离或提取各个源信号。简要介绍了独立分量分析的模型、数学原理等基本问题,详细分析了解决独立分量分析问题的优化准则及对应的算法,最后介绍了独立分离分析的主要应用领域,并对独立分量分析问题的研究方向进行了展望。

Independent Component Analysis（ICA） is an efficient technology developed in resent years in signal processing field. This method can separate or extract unknown sources from their mixtures, In this paper, the fundamental model and mathematical principle are introduced, the optimized criteria and related algorithms for ICA are analyzed. Finally, the paper presents the application and future development of ICA.