盲源分离（Blind Sources Separation，BSS）是盲信号处理的一个重要研究课题，由于该方法可以在没有源信 号及其传输通道的先验知识情况下，仅从传感器...
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Blind Sources Separation (BSS) is one of the multiple signals processing method; it is the process of recovering unknown independent source signals from sensor measurements which are unknown combinations of the source signals.
盲源分离(BSS)是一种多维信号处理方法，它指在未知源信号以及混合模型也未知的情况下，仅从观测信号中恢复出源信号各个独立分量的过程。
参考来源 - 基于快速独立分量分析的盲源分离算法研究及应用·2,447,543篇论文数据，部分数据来源于NoteExpress
Blind sources separation (BSS) is process of estimating unknown source signals from observed signals which are mixtures of unknown source signals.
信号的盲分离就是从一组由未知源信号混合得到的观测信号中估计源信号的过程。
Blind sources separation is a special tool for analyzing and processing signals blindly, which is promising in condition monitoring and fault diagnosis of machinery.
盲源分离是一个很独特的盲信号分析与处理工具，在机械设备状态监测与故障诊断领域有较好的应用前景。
New method to blind sources separation based on band-pass filter has been proposed in this paper on the basis of analyzing the present methods of blind sources separation.
本文在分析现有盲源分离算法的基础上，提出一种新的、基于带通滤波的改进盲源分离方法。
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