自适应波束形成可以实现空间信号分离。
Spatial signal separation can be realized by adaptive beamforming technique.
发现在二维耦合腔结构中，可以实现信号自泵浦和泵浦-信号两种类型的双稳态开关，且后者具有使泵浦和信号在频率和空间相分离的优点。
It shows that the self-pumping type and pump-probe types bistable switching can both be realized in the same structure, and the latter can separate the pump and signal in frequency and space.
基于空间时频分布的盲源分离算法可以用来分离具有不同时频分布的信号。
Blind source separation (BSS) based on spatial time frequency distribution can separate signals with different time frequency distributions.
该算法基于子空间分解技术，利用信号子空间和噪声子空间的正交性将两者分离。
The algorithm is based on the subspace decomposition technique. The signal subspace is separates from the noise subspace by making use of the orthogonality between them.
论文介绍了基于核空间的ICA的原理和基本算法，然后介绍了该算法与典型ICA和主成分分析(PCA)在盲源信号分离中的比较。
In this paper, kernel independent component analysis (KICA) 's principle and algorithm are introduced, and then the KICA comparison with some other ICA and principal component analysis (PCA) is given.
实验表明在盲源信号分离中，基于核空间的ICA与其他典型ICA和PCA算法相比更具有准确性和鲁棒性。
The result of experiment shows that KICA is more accurate and robust than other conical ICA and PCA in the BBS.
最后，在参数空间中，应用基于信号稀疏特性的线性盲分离方法对信号进行分离。
Finally, the linear blind source separation algorithm based on signal sparse property is applied to the parameterized mixing signals.
最后，在参数空间中，应用基于信号稀疏特性的线性盲分离方法对信号进行分离。
Finally, the linear blind source separation algorithm based on signal sparse property is applied to the parameterized mixing signals.
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