搜索资源列表
ICA
- 这是一篇介绍ica的综述文章，写的很全面。
ICA
- ICA源代码,用于人耳识别.自己编写,非常容易理解
ica 独立特征分析的vc库
- ICA独立特征分析的开源库，速度很快，很稳定
ICA 信号分离
- ICA 信号分离
ica.rar
- 一篇介绍独立分量基础知识以及其实现的ppt。,Introduced a basic knowledge of independent component as well as its realization ppt.
ICA_for_Multi_User_Detection_in_CDMA_system
- Blind Source Seperation (BSS) now is a important technology. Independent Component Analysis (ICA) is the main technique of BSS. Suppose we mix many non-Gausse signal sources,ICA can seperate the mixed signal to orignal signals without any information
papericao
- 基本的ICA算法代码,进行有效的特征提取，是一种降维方法。-the matlab code of ICA
ICA_with_Reference
- We present the technique of the ICA with Reference (ICA-R) to extract an interesting subset of independent sources from their linear mixtures when some a priori information of the sources are available in the form of rough templates (references). T
A_comparative_PCA_and_ICA_for_ECG
- 比较了PCA和ICA在心电提取方面的性能-Comparison of the PCA and ICA in mind aspects of the performance of electric extraction
IndependentComponentAnalysisAlgorithms
- 关于ICA算法的详细介绍，内容丰富，希望对大家有所帮助。-ICA
CCECE05_ICA_Code_v10
- ICA codes for different algorithms
infomax
- informax ica算法，用于脑电信号识别-informax ica algorithm for signal recognition to make point
ICA
- idependent component analysis ebook
pca(ica)svm
- 基 于 pca(ica)-svm 实 现 故 障 诊 断 -PCA_test.......
ica
- ica Blind source seperat pdf
PCA-ICA
- 实现了主元分析（PCA）和独立分量分析（ICA）相关信号处理。非线性降维。(Implements Principal Component Analysis (PCA) and Independent Component Analysis (ICA) correlation signal. Non-linear dimension reduction using kernel PCA.)
ICA工具箱 - FastICA_25
- 独立成分分析（Independent Component Analysis），最早应用于盲源信号分离（Blind Source Separation，BBS）。ICA理论的基本思想是从一组混合的观测信号中分离出独立信号，或者尽可能独立的信号对其他信号进行表征。(Independent Component Analysis was first applied to Blind Source Separation (BBS). The basic idea of ICA theory is to s
ICA
- general theory for blind signal separation ICA
ICA
- matlab上基于ICA的故障监测程序，有注释(ICA-based fault monitoring)
基于ICA的人脸识别-matlab代码
- 基于ICA的人脸识别，matlab代码实现(Face recognition based on ICA with matlab code)