BSS
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Blind Source Seperation (BSS) now is a important technology
Blind Source Seperation (BSS) now is a important technology. Independent Component Analysis (ICA) is the main technique of BSS. Suppose we mix many non-Gausse signal sources，ICA can seperate the mixed signal to orignal signals without any information.This -
盲信号分离(BSS)
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。 -
ICALAB for Signal Processing Toolbox for BSS
ICALAB for Signal Processing Toolbox for BSS， ICA， cICA， ICA-R， SCA and MCA -
frequency-domain blind source separation (BSS)
In frequency-domain blind source separation (BSS) for speech with independent component analysis (ICA)， a practical parametric Pearson distribution system is used to model the distribution of frequency-domain source signals.
