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。
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。
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。
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 total correlations between independent variable (X) and dependent variable (y) were divided into their component parts with the method of path analysis.
还利用了通径分析方法将自变量(X)与依变量(Y)问的总相关分剖为其组成部分。
As the most important information extracted from original data, the PCs in the principal component analysis are the linear combination of all independent variables, also suffers from the same defect.
主元分析中的主元作为从数据中提取出来的主要信息，是所有自变量的线性组合，因此也存在这样的缺点。
As the most important information extracted from original data, the PCs in the principal component analysis are the linear combination of all independent variables, also suffers from the same defect.
主元分析中的主元作为从数据中提取出来的主要信息，是所有自变量的线性组合，因此也存在这样的缺点。
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