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Does Independent Component Analysis Play a Role in Unmixing Hyperspectral Data? 在纯超光谱资料里各独立分量作用分析?
Independent component analysis(ICA)is a method of blind source separation. 独立成分分析(Independent Component Analysis ICA)是盲信号分离(BlindSource Separation BSS)的一个重要解决方法。
It is the technique of Independent Component Analysis(ICA) that be mainly researched in the paper. 以独立分量分析(ICA)技术作为主要研究对象,对基于独立分量分析的定点算法进行了详细的分析和推理。
A method of data reconstruction was introduced based on independent component analysis (ICA). 因此提出一种基于独立元分析(ICA)的数据重构方法。
In this paper, a new speech endpoint detection method based on ICA (Independent Component Analysis) enhancement and spectral entropy is proposed. 提出了基于ICA（独立分量分析）增强和谱熵的语音端点检测方法。
So far, Independent Component Analysis (ICA) is the most important method by which the researchers can deal with the blind separation of signals. 目前,解决盲信号分离问题最主要的方法是独立分量分析(Independent Component Analysis,ICA)。
Based on independent component analysis, a new way of underdetermined BSS composed of SVD-ICA and determined-ICA is put forward in this paper. 该文根据独立分量分析ICA理论，提出了多源少信道（欠定）ICA算法与完备ICA算法结合的二次盲信号分离方法，用此方法对局部放电脉冲进行提取。
A novel method based on auto-covariance independent component analysis (ICA) for multi-oscillation isolation and localization is proposed. 摘要提出一种新的基于协方差独立源分析(ICA)的多重振荡源分离定位方法。
A signal preprocessing method based on independent component analysis (ICA) is put forword for fault diagnosis of a gearbox. 摘要提出了一种用于齿轮箱故障诊断的信号预处理方法。
Independent Component Analysis （ICA） and Linear Discriminant Analysis （LDA） are two effective methods of feature extraction. 本文提出了一种基于独立成分分析和线性鉴别分析的特征提取方法。
In this paper, the dynamic implementation of independent component analysis (ICA) by maximization of nongaussianity and its application is studied. 摘要对基于非高斯性极大ICA方法的动态实现及其应用进行了研究。
Then it puts forward a new Blind Source Separation (BSS) method based on the combination of MPQGA and Independent Component Analysis (ICA). 采用通用的量子旋转门策略和动态调整旋转角机制对个体进行演化 ;
As a new array processing technique, independent component analysis(ICA) is an effective means to resolve the blind source separation(BSS) problem. 作为一种新的多元统计处理方法,独立分量分析(ICA)是解决盲源分离(BSS)问题的一个有效手段。
A new scheme based on independent component analysis for MEG sources localization is proposed.The method rearranges the localization process. 该方法重新安排了求解过程，通过独立元分析，取出只包含感兴趣神经源位置信息的数据，进行定位，使定位更具针对性，因此节省了定位时间。
Aimed at the acoustic signals from heavy sizing-press and rolling bearing rig, a preprocessing of autocorrelation for independent component analysis (ICA) is proposed. 摘要以大型轧钢机和滚动轴承试验台爲研究对象，应用独立分量方法来分离机器的声音信号，并提取其状态特征。
This paper proposes a new scheme based on Independent Component Analysis (ICA) for object recognition with affine transformation and for affine parameter estimation. 本文提出了一种基于独立元分析 (IndependentComponentAnalysis;ICA)的仿射目标识别和仿射参数估计的新方法 .
Based on the research of ear recognition with independent component analysis (ICA), a new compound structure classifier (CSCER) ear recognition model was proposed. 摘要在基于独立分量分析的人耳识别方法研究基础上，提出复合结构分类器的人耳识别通用模型。
To utilize these advantages, we apply independent component analysis (ICA) on DSC-MRI images, then we can get output images, which are independent each other. 结合这时间与空间两项的优点，将独立成分分析法应用在动态血流灌注影像上，我们便可以得到互为独立的各组织范围的影像。
The standard model of Independent Component Analysis (ICA) and its assumptions, ambiguities, nongaussianity measures and general solution were introduced. 摘要介绍了独立成分分析(ICA)的基本模型及其假设、含混性、非高斯性度量和通用求解过程。
Independent Component Analysis (ICA), which is presented in studying the prob-lem of blind source separation, is a novel method of signal processing and data analysis. 独立分量分析(ICA)是在研究盲源分离过程中出现的一种全新的信号处理和数据分析方法。