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。
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.
本文基于一个全连接递归网络结构，给出一种新的信息理论的盲源信号分离准则。
A new information theory criterion for blind source separation based on a recurrent neural network is proposed.
实验表明在盲源信号分离中，基于核空间的ICA与其他典型ICA和PCA算法相比更具有准确性和鲁棒性。
The result of experiment shows that KICA is more accurate and robust than other conical ICA and PCA in the BBS.
论文介绍了基于核空间的ICA的原理和基本算法，然后介绍了该算法与典型ICA和主成分分析(PCA)在盲源信号分离中的比较。
In this paper, kernel independent component analysis (KICA) 's principle and algorithm are introduced, and then the KICA comparison with some other ICA and principal component analysis (PCA) is given.
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。
Blind source separation (BSS) based on spatial time frequency distribution can separate signals with different time frequency distributions.
盲源分离方法是近年来出现的一种先进的信号处理方法。
Method for Blind Separation of sources is the Modem Processing Method for Signal.
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。
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.
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。
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.
盲源分离技术是盲信号处理领域的一个重要的分支。
Blind source separation technique is an important branch in blind signal processing field.
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 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。
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 separation of sources consists of recovering a set of signals in which only instantaneous linear mixing are observed.
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。
Results of the experiment show that the method is effective for blind speech signals separation.
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 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.
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。
Blind separation of sources based on higher order cumulants is applied to the separation between vibration signal and noise, which is important to diagnosi.
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。
To improve the detection performance of passive sonar, present dissertation addresses the blind separation of underwater acoustic signals.
卷积混叠的盲信号分离是盲源分离问题中的难点。
The blind separation of convolution mixture signals is a nodus in blind source separation.
利用各源信号之间的统计独立性和通信信号的循环平稳性，提出了一种适合于分布式天线接收的混合通信信号盲分离的思想和实现方法。
Based on the statistic independence of sources and the cyclo stationarity of communication signals, an idea and approach to separate the mixed signals received by distributed antennas is proposed.
本文从信息论的角度入手，研究线性卷积混合的盲解卷积问题，成功实现了基于信息最大化准则的反馈网络算法对两源信号的分离。
From the perspective of information, the paper studies the linear blind deconvolution, successful separate two sources based on information maximization algorithm to the feedback network.
就盲分离在阵列信号处理中的应用，提出了一种基于四阶累积量的源数估计方法。
Based on the application of BSS in array signal processing, a method of estimation signals number was proposed.
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 (BSS) is process of estimating unknown source signals from observed signals which are mixtures of unknown source signals.
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。
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.
针对目前欠定盲分离问题中源数未知，采取“两步法”进行分离源信号。
The two-step approach is often used to separate sources in underdetermined blind separation problem.
在盲源分离算法中，人们对源信号多多少少会有一点了解。
In the blind source separation algorithm, people usually know something about the sources.
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 a promising technique for signal processing, which has such features as blind information processing and waveform restoral.
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.
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.
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；
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.
利用源信号的先验知识分离出感兴趣的信号是带参考信号的盲源分离算法的研究内容。
Using this apriori information so as to extract the desired source is the subject of the algorithm, independent component analysis with reference.
利用源信号的先验知识分离出感兴趣的信号是带参考信号的盲源分离算法的研究内容。
Using this apriori information so as to extract the desired source is the subject of the algorithm, independent component analysis with reference.
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