计算机科学 ›› 2016, Vol. 43 ›› Issue (Z11): 320-323.doi: 10.11896/j.issn.1002-137X.2016.11A.075
李雄杰,周东华
LI Xiong-jie and ZHOU Dong-hua
摘要： 仿射投影算法(APA)重复利用数据,可提高算法的收敛速度。针对现有盲源分离收敛速度慢的问题,以盲源分离的非线性主分量分析(PCA)为基础,结合仿射投影算法,提出了盲源分离的非线性APA-PCA准则,并设计出盲源分离的APA-Kalman,APA-RLS,APA-LMS新算法。在这些新算法中,预白化后的观测向量数据被重复利用,向量式数据转变成矩阵式数据,从而加快了盲源分离的收敛速度。仿真结果表明,非线性APA-PCA准则是有效的。
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