Blind source separation technique is an important branch in blind signal processing field.
盲源分离技术是盲信号处理领域的一个重要的分支。
The basic thought is to apply the existing blind source separation (BSS) algorithm to the signal detection in MIMO-OFDM systems.
基本思想是将现有的盲信源分离算法(BSS)应用到MIMO - OFDM系统的信号检测中。
Some methods of SEMG signal pretreatment based on blind source separation using second order statistics were proposed for noise separation and the elementary decomposition of multi-channel SEMG.
采用基于二阶统计量的盲源分离算法对多导表面肌电信号进行处理，实现噪声的分离和表面肌电信号的初步分解。
Blind source separation is a promising technique for signal processing, which has such features as blind information processing and waveform restoral.
盲源分离是一种很有希望的信号处理技术，具有独特的盲信息处理和波形保持能力。
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.
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。
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。
Consider the typical problem of blind source separation, natural gradient algorithm using blind signal separation.
考虑典型的盲信源分离问题，用自然梯度算法实现盲信号分离。
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.
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。
Finally, the linear blind source separation algorithm based on signal sparse property is applied to the parameterized mixing signals.
最后，在参数空间中，应用基于信号稀疏特性的线性盲分离方法对信号进行分离。
Proposed a new mixed-signal blind sound source separation method: This method is based on joint probability distribution of signal statistics!
从盲声源信号的独立性出发！提出了一种新的盲声源混合信号分离方法：该方法基于信号联合概率的分布统计！
Proposed a new mixed-signal blind sound source separation method: This method is based on joint probability distribution of signal statistics!
从盲声源信号的独立性出发！提出了一种新的盲声源混合信号分离方法：该方法基于信号联合概率的分布统计！
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