The noise model study with blind signal separation issue has broad application prospects.
研究含噪模型的信号盲分离问题具有广泛的应用前景。
Blind signal separation (BSS) is an important topic, it also has used in many applications.
盲源分离是一个非常广泛的议题，在许多实际系统中有着应用。
A new method of blind signal separation was provided to achieve FECG (Fetal ECG) detection.
本文提出了用盲信号分离提取胎儿心电的方法。
Most algorithms for blind signal separation (BSS) have poor performance in a noisy back-ground.
噪声环境下大多数盲源分离+算法性能大大降低。
We derive a new method based on kernel to solve the post-linear blind signal separation problem.
提出了一个基于核函数的后非线性盲分离算法。
Blind signal separation system can capture the true voice signals and use a different algorithm to separate.
盲信号分离系统可以采集真实语音信号，然后使用不同的盲信号分离算法分离。
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。
In the blind signal separation, with the crosstalk error: signal separation as a measure of the performance indicators.
在盲信号分离中，用串音误差：作为衡量信号分离的性能指标。
Abstract: in this paper, several recently proposed neural network approaches to nonlinear blind signal separation (BSS) are reviewed.
摘要：本文回顾了一些最新的求解非线性盲源分离问题的神经网络算法。
We analyze the model of separation system, separation criteria and give the deviation of adaptive algorithm of blind signal separation.
在简化了一般的盲信号分离模型基础上，阐述了该算法的分离准则并对其自适应收敛算法进行了推导。
Through some further simplification and improvement, a real time processing system embedded on a DSP board for blind signal separation is presented.
通过对该盲分离算法进一步简化与改进，设计了一种适合于语音盲分离的实时处理系统，并且使其在DSP系统上得以实现。
Blind Sources Separation (BSS) provides a new alterative for extraction of certain signal components in the signal corrupted by noise, and presents a new method for mechanical fault diagnosis.
盲源分离应用于机械振动信号的预处理中，提供了一个新的处理机制，在机械状态监测和故障诊断中具有一定的价值。
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。
Blind separation of sources based on higher order cumulants is applied to the separation between vibration signal and noise, which is important to diagnosi.
本文利用基于高阶累积量的盲信号分离方法，设计了相应算法，成功地从被噪声污染的信号中恢复源振动信号，从而可确保碰摩故障的检测和诊断能顺利进。
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。
We have discussed about how to extract signal in older according to signals 'character in this paper, which is an important problem in the subject of blind separation.
本文针对盲信号分离中，如何根据信号特征进行有序提取的问题进行了探讨，提出了一种基于遗传算法的有序盲信号提取算法。
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。
The main contents and contributions include: 1 on basis of the defined biorthogonality, we propose several biquadratic cost functions for array-signal blind separation.
主要的研究内容和成果包括以下几个方面：1利用定义双正交原理提出提出了多种用于阵列信号盲分离双二次代价函数。
This project has completed several research works on array-signal blind separation and blind channel equalization under support of NSFC.
本项目在国家自然科学基金的支持下，在阵列信号盲分离及信道均衡方面进行了多个方面的研究工作。
Method for Blind Separation of sources is the Modem Processing Method for Signal.
盲源分离方法是近年来出现的一种先进的信号处理方法。
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。
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。
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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