独立成分分析（Independent Component Analysis），最早应用于盲源信号分离（Blind Source Separation，BBS）。ICA理论的基本思想是从一组混合的观测信号中分离出独立信号，或者尽可能独立的信号对其他信号进行表征。(Independent Component Analysis was first applied to Blind Source Separation (BBS). The basic idea of ICA theory is to separate independent signals from a mixed set of observed signals or to characterize other signals as independently as possible.)