Reduction of noise in flaw signals based on independent component analysis;
为了应用漏磁检测技术检测管道缺陷，需要对缺陷信号进行分析。
After analyzing ICA algorithm, a new method of the radar signal sorting based on independent component analysis is proposed.
在深入分析ICA算法的基础上，提出了将其用于雷达信号分选的新思路。
Noises produced from a working diesel engine are typical blind source signals which could be separated by independent component analysis.
在一段时期内，噪声分离难题一直是制约着柴油机噪声研究、分析、治理工作的一道“瓶颈”。
Using this apriori information so as to extract the desired source is the subject of the algorithm, independent component analysis with reference.
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。
At high photoexcitation, emitted THz wave shows the obvious azimuthal Angle dependence superimposed with a strong angle-independent component.
在高能量雷射的激发之下，放射出的兆赫波显示出与方位角有关的分量叠加于与方位角无关的分量上。
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.
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。
The principle and applications of the Independent Component Analysis (ICA) are surveyed.
对ICA方法的原理和应用进行了综述。
Independent Component analysis is a new transform for multispectral or hyperspectral datasets.
是多光谱或超光谱数据集的一种新的转换方法。
Independent Component analysis is a new transform for multispectral or hyperspectral datasets.
是多光谱或超光谱数据集的一种新的转换方法。
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