Spatial signal separation can be realized by adaptive beamforming technique.
自适应波束形成可以实现空间信号分离。
The noise model study with blind signal separation issue has broad application prospects.
研究含噪模型的信号盲分离问题具有广泛的应用前景。
A new method of blind signal separation was provided to achieve FECG (Fetal ECG) detection.
本文提出了用盲信号分离提取胎儿心电的方法。
Blind signal separation (BSS) is an important topic, it also has used in many applications.
盲源分离是一个非常广泛的议题，在许多实际系统中有着应用。
Most algorithms for blind signal separation (BSS) have poor performance in a noisy back-ground.
噪声环境下大多数盲源分离+算法性能大大降低。
We derive a new method based on kernel to solve the post-linear blind signal separation problem.
提出了一个基于核函数的后非线性盲分离算法。
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。
Because the radiant signal is unknown, the problem of pulse match and signal separation becomes more complicated.
因为被测辐射源信号是未知的，多辐射环境脉冲配对和信号分选问题就更为复杂。
Signal separation were completed for the measured force and strain signals, and the strain errors were calibrated.
对测试中所得的力信号和应交信号进行了信号分离，同时，对应交误差进行了修正。
Consider the typical problem of blind source separation, natural gradient algorithm using blind signal separation.
考虑典型的盲信源分离问题，用自然梯度算法实现盲信号分离。
In the blind signal separation, with the crosstalk error: signal separation as a measure of the performance indicators.
在盲信号分离中，用串音误差：作为衡量信号分离的性能指标。
Abstract: in this paper, several recently proposed neural network approaches to nonlinear blind signal separation (BSS) are reviewed.
摘要：本文回顾了一些最新的求解非线性盲源分离问题的神经网络算法。
The technologies of signal separation and parameter estimation are the most important technologies of the wide band digital receiver.
从多信号中分离出各信号是宽带数字接收的关键技术之一。
We analyze the model of separation system, separation criteria and give the deviation of adaptive algorithm of blind signal separation.
在简化了一般的盲信号分离模型基础上，阐述了该算法的分离准则并对其自适应收敛算法进行了推导。
Adaptive filtering is widely used in system identification, signal separation, channel equalization and echo cancellation and other fields.
自适应滤波广泛应用于系统识别、信号分离、信道均衡以及回声抵消等领域。
Through some further simplification and improvement, a real time processing system embedded on a DSP board for blind signal separation is presented.
通过对该盲分离算法进一步简化与改进，设计了一种适合于语音盲分离的实时处理系统，并且使其在DSP系统上得以实现。
Wavelet Transfer (WT) is a powerful technique in signal separation. It is very easy for WT to improve the signal-to-noise (SNR) by separating the random noise and useful signal.
小波变换技术具有很强的信号分离能力容易把随机噪声从信号中分离出来，从而提高信号的信噪比。
C - Philips AH6731 - a very natural, neutral sound. Stereo separation best with a good signal.
飞利浦的AH6731非常非常自然得声音，在较好的接受信号时立体声的分离度无与伦比。
Blind separation of sources based on higher order cumulants is applied to the separation between vibration signal and noise, which is important to diagnosi.
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。
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。
Under the hypothesis of the given matrix operators satisfying the signals separation, the multi-dimensional optimum about the signal azimuth, and the multidimensional(MD-)RELAX , was established.
在矩阵算子实现信号分离的前提下，建立了关于信号方位参数的多维优化问题—即所谓的多维（MD-）松弛（RELAX）算法。
To use separation of goal signal and wave filter, the guided precision can be improved.
采用目标信号分离与滤波可进一步提高制导精度。
Blind source separation technique is an important branch in blind signal processing field.
盲源分离技术是盲信号处理领域的一个重要的分支。
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.
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。
With this method applied the separation of the AM sine pulse from the ideal chaotic signal and from the measured reverberation of the lake bottom are implemented.
应用该方法对理想混沌信号与调幅正弦脉冲进行分离以及对实测的湖底混响与调幅正弦脉冲进行分离。
The basic thought is to apply the existing blind source separation (BSS) algorithm to the signal detection in MIMO-OFDM systems.
基本思想是将现有的盲信源分离算法(BSS)应用到MIMO - OFDM系统的信号检测中。
Based on the CTRANC characteristic of suppressing the interfering signal and stability in short-term of speech signal, an adaptive speech separation algorithm based on the CTRANC system comes out.
利用CTRANC抑制干扰信号的特性及语音信号的短时稳定性，借助最优控制相关理论，得到了新的语音分离方法及其自适应滤波迭代步长的计算公式。
Beside filtering interference signals and extract effective signals, it is a difficult problem to study the separation of multi-signal of sound wave and vibration.
在实际测量过程中，除了过滤干扰信号，提取有效信号外，多振动源信号分离是本文研究的一个难点。
Beside filtering interference signals and extract effective signals, it is a difficult problem to study the separation of multi-signal of sound wave and vibration.
在实际测量过程中，除了过滤干扰信号，提取有效信号外，多振动源信号分离是本文研究的一个难点。
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