搜索资源列表
prtools3.1.7.rar
- 模式识别 MATLAB 的工具箱,比较实用,包括SVM,ICA,PCA,NN等等模式识别算法.,Pattern Recognition Toolbox for MATLAB, more practical, including the SVM, ICA, PCA, NN pattern recognition algorithm and so on.
JnS_JADE-and-SHIBBS
- 盲源信号分离的Matlab程序，包括JADE and SHIBBS两种，效果不错！-Two batch cumulant-based ICA algorithms: JADE and SHIBBS
FastICA
- 基于MATLAB的fastica算法的实现,有完整源代码。这是一个关于盲源分离独立成分分析方法fastICA的软件包，给大家分享一下，完整的matlab代码。-MATLAB-based fastica algorithm, a complete source code. This is a blind source separation independent component analysis (ICA) of the package, to share with you, complete
FastICA_Aapo_Hyvarinen
- ICA算法的提出者Aapo Hyvarinen提供的FastICA算法，经典中的经典。-Author Aapo Hyvarinen ICA algorithm FastICA algorithm is available, the classic of classics.
arithmetic_FastICA
- Matlab环境下的基于独立分量分析（ICA）算法，信号处理，非常重要！--Matlab environment based on the independent component analysis (ICA) algorithm, signal disposal , very important!
Statistic
- 数据驱动的统计学习方法，包括PLS、PCA、ICA等，可方便进行故障诊断研究-Data-driven statistical learning methods, including PLS, PCA, ICA, can do researching on fault diagnosis
fastica
- fast ICA的源文件 独立成分分析 MATLAB工具箱里也有 可以下载到工具箱 安装后就可以使用了-fast ICA Independent component analysis of the source file MATLAB toolbox is also available for download to install, ready to use the toolbox
fastica.tar
- Matlab code for fast ICA
soumekh
- Synthetic Aperture Radar Signal Processing with MATLAB Codes(Wiley, 1999)一书的源码-Synthetic Aperture Radar Signal Processing with MATLAB Codes (Wiley, 1999) one book source
featureextraction
- 利用MATLAB实现一维信号时间序列的，特征提取，其中包括ICA和基于小波包的方法。-Use MATLAB to achieve one-dimensional time series signal, feature extraction, including the ICA and the method based on wavelet packet.
FastICA_2.5.tar
- 快速ica算法，对于独立分离分析研究应用的一种有效算法。-ICA matlab code
ToolBox
- matlab图像处理工具相，使用了主成分分析，ANN，SVM等方法。-This toolBox used in the image processing(feature extraction and classification) PCA,LDA,ICA,DCT,RBF,RBE,GRNN,KNN,minimum distance,SVM, and others
lee03a.ps
- this matlab code for ICA-this is matlab code for ICA
mexica.1.2.alpha.tar
- this matlab file for ICA-this is matlab file for ICA
MIToolbox
- this matlab file for ICA-this is matlab file for ICA
sanfuICA
- 本程序通过优化ICA算法实现了混合图像的盲源分离，分离效果优于一般ICA算法-This procedure optimized ICA algorithm is a mixed picture of blind source separation, separation is better than the general ICA algorithm is
jcwtlib-0.01.tar
- 独立成分分析（Independent Component Analysis, ICA）是近年来发展起来的一种有效的盲分离技术，最早是由法国学者Herault和Jutten于1986年提出。ICA方法的提出最初是用来解决“鸡尾酒会”问题，其过程可以归纳为，在源信号与传输通道参数均未知的情况下，仅根据源信号的统计特性，出现测信号恢复出源信号。ICA分析的关键在于根据一定的优化准则建立描述输出信号独立程度的优化判据，即目标函数，并设计相应的优化算法，寻求最优的分离矩阵，使得输出信号中各分量尽可能相互独
mi
- matlab 互信息理论主要函数的工具包，包括互信息，熵的计算公式等程序-the main function of mutual information theory matlab toolkit, including the mutual information, entropy calculation
fecg
- 四篇关于胎儿心电信号提取的英文文献 ICA算法 很好-fetal ECG sepration based on ICA
work
- 该算法实现了ICA,PCA的过程监测及故障诊断-The algorithm of the ICA, PCA in process monitoring and fault diagnosis