目的：提取心脏激励源信号的特征波形。
OBJECTIVE: To extract the heart excitation source signals in human pulse wave.
本文详细介绍了系统的源信号从转换到显示的全过程。
This paper describes the process from original signal transformation to display.
但在实际应用于机械源信号分离中，效果尚不够理想。
However, the effect of sources separation by such method is not adequate for mechanical sources in practice.
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.
在估计出混合矩阵的基础上，利用最短路径法分离出源信号。
Then, the source signals can be recovered by the shortest path method.
提出了实际可行的算法，提取了心脏激励源信号的特征波形。
The feasible arithmetic is given and the characteristic waveforms of heart excitation source is obtained.
盲信号提取主要研究如何把源信号逐个从观察信号中提取出来。
Blind signal extraction researches mainly on how to extract the source signal sequentially from the mixed signals.
在这篇论文中，首先研究了反辐射导引头对多源信号的角分辨方法。
In this paper, a detailed research is firstly given on the method of Angle resolution of ARRS to multiple source signals.
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.
给出了干涉仪测量这类两点源信号中的主信号入射角的通用数学表达式。
Generel mathematical expression on incidence Angle of major signal in such signals with the interferometer is presented.
该算法可以对任意源信号进行分离，而不管它是超高斯还是亚高斯信号。
Advantage of the proposed algorithm is that any source can be separated, whether it is super-Gaussian or sub-Gaussian signal.
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.
当完全使用这个矩阵，可估计比经典MUSIC法更多的源信号的参数。
When we use the matrix to form an algorithm, it can estimate more sources than classical MUSIC algorithm.
所确定的指标明显低于常见的空-空弹点源信号导引头的最大跟踪角速度。
The result is obviously lower than the maximum tracking speeds of point signal seekers of ordinary air to air missiles.
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.
论文主要的目的是研究反辐射导引头对多源信号的角分辨与角跟踪的算法。
This paper is focused on research of algorithm for Angle resolution and tracking of ARRS to multiple source signals.
如果源信号具有时序结构，仅使用二阶统计量信息就可以很好地分离源信号。
However, if the source signals have temporal structures, only the second-order statistics can work well.
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.
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.
理论研究表明，两点源信号幅度不相等时，脉冲积累后的导引头输出指向大功率源。
Theoretic study shows that the seeker points to the bigger power source via pulse accumulation when the dual sources have different amplitude.
但若假设的概率密度函数与真实概率密度函数差异较大，源信号将不能被正确分离。
If the assumed PDF is different from the true PDF considerably, the sources will not be separated correctly.
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.
采用峰度作为适应度函数，利用粒子群算法对由多个源信号混合而成的信号进行盲抽取。
In the method, peak is used as fitness function, and the PSO algorithm is used to withdraw blindly from several signals.
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.
该文研究超定盲信号分离，即观测信号个数不少于源信号个数情况下的盲信号分离问题。
The problem of overdetermined Blind source Separation (BSS) where there are more mixtures than sources is considered.
文中首先引入适用于电压型和电流型电路的广义二值信号，推导出源信号和负载简化定理。
The generalized binary signal to be applicable to voltage-mode and current-mode circuits is introduced first.
同时，从传感器接收到的信号可能是从多个振源发出的，这就要涉及到多源信号的分离问题。
Meanwhile, the signal that we received from the sensor may be the mixed signals coming from several signal sources.
可使线性静态或动态传输通道中混叠的多源信号实现分离，从而可应用于传输信号上的去噪。
The noise mixed on process signal by a linear and convolutive fashion in a stationary or nonstationary propagation passage can be canceled with this approach.
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.
在知道源信号信息和传输信道的情况下，我们可以对信号进行处理，滤除干扰信号，得到有用信号。
With knowing the information of source signals and transmission channel, we can carry on processing to the signals, filter out interfering signals and get useful signals.
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