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。
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.
将其用于盲源分离，通过实例证明了该方法的正确性和有效性，从而解决了盲分离中信号源个数的估计问题，为盲源分离技术的应用进一步奠定了基础。
The validity of the method in BSS is proved through experiments. Thus the method can solve the problem of estimation of signal number in BSS, it paves the way to wider application of BSS methods.
本文将时频掩蔽效应引入盲源分离语音增强系统中，给出一种基于时频掩蔽效应和盲源分离的语音增强方法，并将其与期望最大化方法进行了性能比较。
To obtain clearer desired signal under multi-speaker environment, the time-frequency masking effect is used in post-processing of speech enhancement using blind source separation.
盲源分离是从观测信号中恢复源信号的一种有效方法，目前已成为信号处理领域的研究热点。
Blind source separation is an efficient method to recover source signals from observed signals, and it has become an attractive research in the field of signal processing.
利用所建立的方法进行振动信号盲源分离的数值仿真，分离后的信号波形与源信号一致。
The method is named as speedup gradient method. Based on the method developed, the numerical simulation of vibration signal blind source separation was performed.
利用所建立的方法进行振动信号盲源分离的数值仿真，分离后的信号波形与源信号一致。
The method is named as speedup gradient method. Based on the method developed, the numerical simulation of vibration signal blind source separation was performed.
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