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Basic ICA code in MATLAB (as used in Bell and Sejn
- Bell and Sejnowski 在1996提出的ica算法，用matlab实现的，但版本较旧，需要做修改才能用于新版本。-Bell and Sejnowski 1996 in the ica algorithm, using Matlab to achieve, but the older version needs to be done in order for the new revised version.
icamatlabcodeforsignalprocessi
- ica语音信号分离的程序，带有实验录音和图片，可直接进行操作和原代码分析。,ica voice signal separation procedure, with experimental audio and picture, can be directly carried out the operation and analysis of the original code.
FastICAmatlabtoolbox.rar
- FastICA的matlat软件包，独立分量分析(ICA)在模式识别（如人脸识别），信号分离等领域有着广泛的应用。 ,The FastICA package for MATLAB The FastICA package is a free (GPL) MATLAB program that implements the fast fixed-point algorithm for independent component analysis and projection pursuit.
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.
ica
- 可以分离语音的独立分量分析程序 可以实现瞬时和卷积混合的分离 相当好用-ica_f.m bsepf2 is the main program and it needs correlation.m decorrelation.m permutation.m sepfilter.m. You also need to visit ftp://sig.enst.fr/pub/jfc/Algo/Joint_Diag/ and get a matlab
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
- 一个基于ICA的图像分离算法的MATLAB程序，包含了文章，几个源程序，和说明文档。-An ICA-based image separation algorithm MATLAB program, contains articles, a few source code, and documentation.
rbf
- 实现了RBF网络，已载入训练和测试样本，可根据需要将其更换-Achieved a RBF network, has been printed in the training and test samples may be needed to replace
ICA
- 独立成分分析算法降低原始数据噪声，并提取特征值，非常有用得数据去噪程序。-Independent component analysis algorithm reduces the raw data noise, and extract characteristic value, is more helpful data denoising procedure.
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.
FaceEvaluator
- A full implementation of ICA,PCA,LDA,SVM,in both orginal and incremental in model of real time learnign for face recognition.
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
ica_appD_demo
- 高校的ICA计算代码，广泛用于特征选择，降维，目标识别等-Colleges and universities ICA calculation code, widely used in feature selection, dimensionality reduction, target identification, etc.
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
ICA(Matlab)
- IEEE文章，带ICA算法源码，很好的参考，给大家分享一下-ICA matlab
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
ICA.25
- 独立成分分析的matlab实现，适合初学者学习和使用-Independent component analysis matlab implementation, suitable for beginners to learn and use
Basic-ICA-code-
- ICA程序，1996提出的ica算法\Basic ICA code in MATLAB (as used in Bell and Sejnowski 1996).-Basic ICA code
kernel-ICA
- The kernel-ica package is a Matlab program that implements the Kernel ICA algorithm for independent component analysis (ICA). The Kernel ICA algorithm is based on the minimization of a contrast function based on kernel ideas. A contrast functio
Chared ICA Code
- 受帝国主义殖民竞争机制的启发，Atashpaz-Gargari和Lucas于2007年提出了一种新的智能优化算法—帝国竞争算法 (ICA)。与GA, PSO, ABC等受生物行为启发的群智能算法不同，ICA受社会行为启发，通过摸拟殖民地同化机制和帝国竞争机制而形成的一种优化方法。ICA也是一种基于群体的优化方法，其解空间由称为国家的个体组成。ICA将国家分为几个子群，称为帝国。在每个帝国内，ICA通过同化机制使非最优的国家(殖民地)向最优国家(帝国主义国家)靠近，该过程类似于PSO。帝国竞争机制