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"DuLi"成分
1、independent───n.DuLi自主者；无党派者；adj.DuLi的；单独的；无党派的；不受约束的
2、linearly independent───[数]线性无关的；线性DuLi的
3、conditionally independent───条件DuLi
4、component───adj.组成的；构成的；n.组成部分；成分；组件，元件
5、independent firms───DuLi公司
6、passive component───n.[电子]无源元件
7、algebraically independent───代数无关的；代数无关（的）
8、independent contractor───DuLi承包人；[基经]DuLi承揽人
9、component parts───零部件；元件部分
1、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。
2、Independent component analysis(ICA) is a technique which extracts statistically independent components from a set of measured signals.───DuLi分量分析 (I C A)是一种从混合信号中提取统计DuLi的分量的一种方法。
3、Using independent component analysis(ICA) method, the kurtosis as the criterion to classify the basis images is proposed to removal jamming.───借助于DuLi分量分析 (I C A)方法，提出高阶统计量-峭度值作为基图像分类标准，实现了干扰信号的有效抑制。
4、principle and applications of the Independent Component Analysis (ICA) are surveyed.───ICA方法的原理和应用进行了综述。
5、The simulation result shows that independent component analysis is an effective means to achieve the feature detection of VLP.───FangZhen结果表明，利用DuLi分量分析方法对心室晚电位信号的特征检测是一种行之有效的手段。
6、Good agreement between the independent component with the maximal kurtosis and liquid slug fluctuation of slug flow was observed.───弹状流中峭度最大的DuLi分量对应液弹变化信息；
7、Independent Component Analysis (ICA) was presented as an efficient face feature extraction method.───DuLi分量分析方法是一种有效的人脸特征提取方法。
8、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。
9、Independent component analysis(ICA) are generally used for feature extraction, process monitoring, but rarely used for classification.───DuLi成分分析方法 (I C A)一般用于特征提取、过程监控，很少用于分类。
1、Considering the nonlinear and redundant characteristic of the data in real industry process, a nonlinear independent component analysis based on kurtosis is presented.
2、Statistical independence is an important and basic restriction in the classical model of Independent Component Analysis(ICA).
3、In this paper, an improved algorithm of image feature extracting for independent component analysis was proposed based on basic functions' maximization of sparseness .
4、In view of this situation, a novel system structure is proposed in which the reference input of ANC system is pretreated using the technology of independent component analysis (ICA).
5、In this paper, a new approach using the independent component analysis for remote image fusion between panchromatic and multi-spectral images is presented.
6、Among the prime process of independent component analysis, whitening is rather important.
7、Independent Component Analysis ( ICA ) was presented as an efficient face feature extraction method.
8、So a novel hybrid model for forecasting system marginal price (SMP) in spot market is presented, which integrates independent component analysis with support vector machine, called ICA-SVM.
9、An Automatic Face Recognition Method based on independent component analysis and Maximum Entropy Modeling is proposed in this paper.