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1·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。

2·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。

3·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。

4·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。

5·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。

6·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。

7·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。

8·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。

9·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。

10·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。