基于一种两步稀疏表示的方法，利用随机框架讨论欠定盲源分离的恢复能力。
This paper discusses the recoverability of underdetermined blind source separation(BSS), based on a two-stage sparse representation approach.
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.
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.
提出了用先验混合矩阵对盲源进行分离的网络分量分析方法(NCA)。
A method of Network Component Analysis (NCA) which separated blind sources using apriori information on the mixing matrix was put forward.
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.
利用稀疏分量的直线聚类性，提出了欠定盲源分离中估计混合矩阵的一种方法。
A method of the mixing matrix estimation in underdetermined source separation is proposed, which is based on the linear clustering of sparse component.
提出了一种新的用于未知数量稀疏源盲分离的统一方法。
A new unified method for the blind separation of sparse sources with unknown source number is proposed.
提出一种运用基于盲源分离的共振解调技术对齿轮齿面接触故障进行诊断的方法。
A method using demodulated resonance technique based on blind source separation is developed for gear contact diagnosis.
提出了一种基于局域波时频图像的盲源分离故障诊断方法。
The blind source separation fault diagnosis method based on Local wave time-frequency images is developed.
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.
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.
基于子带盲源分离和后置处理的语音增强方法。
Speech enhancement based on blind source separation with post-processing in subband.
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.
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.
结合经验模态分解和主分量分析各自的优点，提出了一种基于EMD -PCA的轴承故障源的盲分离方法。
Combined the advantage of empirical mode decomposition (EMD) and principle component analysis (PCA), a blind separation method of rolling bearing faults is proposed based on EMD and PCA.
结合经验模态分解和主分量分析各自的优点，提出了一种基于EMD -PCA的轴承故障源的盲分离方法。
Combined the advantage of empirical mode decomposition (EMD) and principle component analysis (PCA), a blind separation method of rolling bearing faults is proposed based on EMD and PCA.
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