| 1. | Blind separation technique of modulatory fault source signal
调制故障源信号盲分离技术 |
| 2. | Aiming at the time - difference of the same source signals , the wavelet characteristic of singularity detection is applied
对同源信号的时差问题，论文中运用小波检测奇异点的特性来计算。 |
| 3. | Combining the blind beamforming with the estimation of doa , the doa can be estimated at the same time when the source signals are recovered
并将盲波束形成与目标方位估计相结合，实现在捕获、恢复目标源信号的同时，估计出目标的波达方向。 |
| 4. | Bss problems are to separate or extract individual source signal from a set of mixture signals . except that the source signals are assumed to be independent , no apriori information is known about the mixture signals
Bss问题是从某类混合信号序列中分离或估计各个未知源信号的过程，其中假设源信号是相互统计独立的。 |
| 5. | We separate the linear mixed signals using the fourth order cumulants and independent component analysis technology . the source signals , which are separated , are applied to speaker recognition and they can be well recognized
本文运用四阶累积量法和独立分量分析技术成功地将线性混叠语音信号分离，再将分离出的源信号用于说话人识别，可较好地识别出说话人。 |
| 6. | Blind source separation ( bss ) problem is to separate or extract individual source signal from a set of mixed signals , assuming the source signals are independent and no a - prior information is known about the mixed signals
盲源分离问题是从某类混合信号序列中分离或提取出各个未知源信号的过程，其中假设源信号是相互统计独立的，人们对混合信号的信息完全未知。 |
| 7. | Blind beamforming ( bbf ) is concerned with the reconstruction of source signals from the outputs of a sensor array without a priori information of the direction of the desired source , relying instead on signal characteristics and array structures
盲波束形成无需知道目标波达方向等先验信息，直接利用信号、基阵自身的特性，就可从基阵的输出采样信号中恢复出期望信号。 |
| 8. | Based on theoretical studies on these algorithms , by means of computer simulation and the water tank experiment , we analyzed the performance of these algorithms in uniform linear array , which included the separation and reconstruction of source signals and doa estimation performance
在详细分析各种算法内在机理的基础上，针对均匀线列阵，通过大量的计算机仿真实验与水池实验数据处理结果，分析、讨论了几种算法对目标源信号的分离、捕获能力以及方位估计性能。 |
| 9. | During the past decade , blind source separation - bss has been a focus in the research area of signal processing . ranging from wireless communication to medical signals processing , to image enhancement and to audio mixtures separation , bss is a powerful tool to tackle those problems because it can reconstruct the original signals from the observed signals without any prior knowledge of the mixing system and source signals
盲信号分离技术是近年来信号处理领域的一个研究热点，由于其能够从观测的混合信号中恢复出原始信号，而对原始信号和混合系统的先验知识要求很少，因此在无线通信、医学信号处理、图像增强和语音分离方面有着广泛的应用。 |
| 10. | Two primary mathematical tools used in this dissertation are principal component analysis ( pca ) and blind signal analysis ( bsa ) , which are both data - driven methods . pca is not only used as feature extracting method ( where process variables are subjected to multivariate normal distribution ) , but also as a tool for dimension reduction ; bsa is used to extract independent features or process blind source signals from process information in information theory sense , which is more effective than pca in describing the process
主元分析方法不仅作为一种过程特征的提取方法(在过程信息服从多元正态分布的情况下) ，而且也作为一种过程数据降维的主要工具(在过程盲源信号提取的情况下) ；盲源信号分析是从信息论的角度，从过程信息中提取出尽可能独立的过程特征信号或过程原始信源信号，它具有比主元分析更好的刻画过程运行特征的性能。 |
