计算机科学 ›› 2016, Vol. 43 ›› Issue (Z6): 265-267.doi: 10.11896/j.issn.1002-137X.2016.6A.063
杨华,张杭,张江,杨柳,李炯
YANG Hua, ZHANG Hang, ZHANG Jiang, YANG Liu and LI Jiong
摘要： 针对在线盲源分离算法收敛速度受初始分离矩阵影响的问题,提出一种基于人工蜂群算法(ABC)的初始分离矩阵优化的在线盲源分离算法。该算法利用人工蜂群算法较强的搜索能力,在盲源分离的初始阶段以批处理的方式进行分离矩阵的寻优,使得算法获得较好的初始迭代点,然后采用梯度下降法以在线的方式实现分离,从而提高算法的整体收敛性能。仿真结果证明了所提算法的有效性,并且其适用于混合矩阵时变的情形。
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