The separability and separating conditions for mixed signals are analyzed in this paper. The limitation of nonlinear blind source separation methods is proposed.
该文分析了非线性混叠信号的可分离性及分离条件，指出现阶段非线性混叠信号盲分离的局限性。
A new kind of blind separation algorithm for real time linear mixture signals is presented in this paper.
一种新的实时线性混叠信号盲分离算法在本文提出。
Blind separation of sources consists of recovering a set of signals in which only instantaneous linear mixing are observed.
盲源分离的目的在于只利用观测数据把被瞬时线性混合的源信号恢复出来。
Blind source separation (BSS) based on spatial time frequency distribution can separate signals with different time frequency distributions.
基于空间时频分布的盲源分离算法可以用来分离具有不同时频分布的信号。
Based on an analysis of EASI batch process algorithms for traditional blind source separation, a sliding window ICA algorithm is studied to deal with complex signals in the time variant mixing model.
通过对传统盲源分离批处理EASI算法的分析，针对时变信道中通信信号的复数形式，以平滑窗的形式实现了批处理算法在时变混合模型下的应用。
A new blind separation algorithm based on signals' whiten transform and QR decomposition of matrix is proposed.
基于信号的白化变换及矩阵的QR分解理论，提出了一种新的盲分离算法。
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。
In this paper, a convolutive blind source separation (BSS) algorithm based on a double-iteration method is proposed to process the convolutive mixed non-white broadband signals.
本文提出一种基于双迭代方法的关于卷积混迭宽带非平稳有色信号的盲源分离算法。
To improve the detection performance of passive sonar, present dissertation addresses the blind separation of underwater acoustic signals.
基于提高被动声纳的检测能力，对水声信号的盲源分离技术进行了探索性研究。
The blind separation of convolution mixture signals is a nodus in blind source separation.
卷积混叠的盲信号分离是盲源分离问题中的难点。
Blind sources separation is a special and dominant tool for analyzing and processing signals blindly, which is promising in condition monitoring and fault diagnosis of machinery.
盲源分离是一个很有优势的盲信号分析与处理工具，在机械状态监测与故障诊断领域有较好的应用前景。
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。
Results of the experiment show that the method is effective for blind speech signals separation.
实验结果证明了该算法能够有效用于高维情况下多信源少观测源的盲语音信号分离。
The problem of blind separation of signals in post nonlinear mixture is addressed in this paper.
本文研究了后非线性混合信号的盲分离。
According the real domain algorithms, we present the evaluating criterion to the complex algorithms for blind underwater acoustic signals separation.
文中分析了水声基阵接收信号的实数延时模型和复数混合模型，提出了水声信号盲分离算法性能评价准则。
This paper proposes a new method based on mixing matrix estimation for underdetermined blind speech separation, aiming at speech signals under weak sparseness.
针对语音信号的弱稀疏性，提出一种新的基于混合矩阵估计的欠定语音盲分离方法。
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。
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。
It is proposed a new blind separation algorithm of ill-condition mixed sources. Observed signals are pre-processed through eliminating redundancy signals so that mixed matrix A is row full rank.
提出了一种新的病态混叠盲源分离算法。算法首先对观察信号进行预处理，把多余的观察信号剔除，使预处理后的混叠矩阵A是行满秩的；
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 second, it uses this method to blind speech signals separation of more sources than sensors.
然后将此方法用于多信源少观测源情况下的混合语音信号分离。
A new adaptive blind source separation algorithm of non-stationary signals was presented by using natural gradient rule and time-correlation property of the source signals acting on a cost function.
基于自然梯度原则并利用信号的时间相关属性对一类代价函数进行推导，获得一种新的非平稳信号自适应盲分离算法。
Except that the source signals are assumed to be independent, no apriori information is known about the mixture signals. That is why the problem is known as Blind Source Separation.
由于关于混合信号的信息完全未知，因此将该过程称为盲源信号分离。
A blind separation method was presented to separate vibration signals by using double decorrelation. Generally, the mixed signals should be whiten at first when using the blind separation method.
盲分离方法通常要求对混合信号进行去相关，提出了一种基于两次去相关的振动信号盲分离方法。
The problem of blind separation of signals in post-nonlinear mixture is addressed. The learning rules for the general post-nonlinear separation structure are derived by a maximum likelihood approach.
研究后非线性混合信号的盲分离，从最大似然角度推导了一般后非线性分离结构的学习公式；
Blind source separation (BSS) aims to extract independent signals from their linear mixtures captured by a number of sensors without knowing the channel information.
线性混叠盲源分离是指观测信号由源信号经线性混合得到，现阶段盲源分离的大多数研究集中于线性混叠模式。
For separating source signals efficiently, a nonlinear blind separation algorithm based on specific-designed multiobjective evolutionary algorithm is proposed.
设计了多目标进化算法来求解代价函数的全局最优解，提出了非线性盲源分离的多目标进化算法。
The blind source separation can extract the feature signals of each machine from the mixed signals.
盲源分离技术可以有效去除环境噪声的干扰并提取出各设备的特征信号。
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。
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。
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