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ICA
- 关于独立成分分析的一个ppt,这个ppt对独立成分分析的介绍很全面,从原理,到算法实现都很清楚,希望对大家有所帮助!-With regard to independent component analysis, a ppt, the ppt presentation on independent component analysis is very comprehensive, from the principle, to the algorithm are well aware, we wan
ica_z
- 本程序是独立成分分析算法的主程序，在该程序中，通过调用子程序的方式实现了独立成分分析。-This procedure is the main independent component analysis algorithm, in this program by calling the subroutine way to achieve an independent component analysis.
fastica_mian
- 本程序是快速独立成分分析算法的主程序，包含了详细的注释，不含子程序。-This procedure is fast independent component analysis algorithm of the main program, including detailed notes, excluding subroutine.
fpica
- 本程序是快速独立成分分析算法中需要调用的一个很重的子程序。-This procedure is fast independent component analysis algorithms need to call a heavy subroutine.
ica
- 高光谱遥感图像光谱解混的独立成分分析技术-Hyperspectral remote sensing image spectra unmixing independent component analysis
FastICA_2.5
- 独立成分分析方法Matlab实现的代码 以得出独立成分-Independent component analysis Matlab code implemented to derive independent component
GradientAscent_highkurtosis
- 基於infomax的独立成分分析演算法，建议初始步阶设0.1、增步阶α1.2、减步阶β0.1-INDEPENDENT COMPONENT ANALYSIS BY ENTROPY MAXIMIZATION (INFOMAX)
kai_xf34
- 独立成分分析算法降低原始数据噪声，ML法能够很好的估计信号的信噪比,包括AHP，因子分析，回归分析，聚类分析。- Independent component analysis algorithm reduces the raw data noise, ML estimation method can be a good signal to noise ratio, Including AHP, factor analysis, regression analysis, cluster analy
pn325
- 应用小区域方差对比，程序简单，基于chebyshev的水声信号分析，独立成分分析算法降低原始数据噪声。- Application of small area variance comparison, simple procedures, Based chebyshev underwater acoustic signal analysis, Independent component analysis algorithm reduces the raw data noise.
4235
- 进行波形数据分析,独立成分分析算法降低原始数据噪声，时间序列数据分析中的梅林变换工具。- Waveform data analysis, Independent component analysis algorithm reduces the raw data noise, Time series data analysis Mellin transform tool.
genfou_v86
- 调试通过可以使用，包括数据分析、绘图等等,独立成分分析算法降低原始数据噪声。- Debugging can be used, Data analysis, plotting, etc., Independent component analysis algorithm reduces the raw data noise.
fa628
- 多姿态，多角度，有不同光照,独立成分分析算法降低原始数据噪声，到达过程是的泊松过程。- Much posture, multi-angle, have different light, Independent component analysis algorithm reduces the raw data noise, Arrival process is a Poisson process.
yr770
- 独立成分分析算法降低原始数据噪声，Matlab实现界面友好，可以提取一幅图中想要的目标。- Independent component analysis algorithm reduces the raw data noise, Matlab to achieve user-friendly, Target can be extracted in a picture you want.