说明：  盲信号分离(BSS)是指在对彼此独立的源信号混合过程及各源信号本身均未知的情况下，从混合信号中分离出这些源信号的方法。BSS可以用来从多个麦克风混合语音信号中提炼出单个语音信号。本文简要阐述LMS、RLS算法，并通过仿真实验来分析比较这两类方法的性能，并利用此方法对一实际的语音信号进行分离。
(Blind signal separation (BSS) refers to the source signal mixing process of independent of each other and the source signals are unknown, the source signal is separated from mixed signals. BSS can be used for a single speech signal extracted from the multiple microphone mixing speech signals. In this paper, LMS, RLS algorithm, performance and through simulation experiments to compare the two methods of speech signal, and an actual separation using this method.)