搜索资源列表
JnS-1.2(cardoso)
- cardoso的独立分量分析（ICA）的特征矩阵联合近似对角化（JADE）方法。-Cardoso independent component analysis (ICA) features similar to the joint matrix diagonalization (JADE ) method.
flexica
- 这是实际环境中语音信号盲分离的最新程序代码，用于语音信号独立分量分析ICA。解压后运行，输入录制的混合语音信号即可看到结果。-this is the actual environment of the speech signal separation blind to the latest code, Voice Signal for independent component analysis ICA. Unpacked operation, the importation of record
FastICA
- FastICA算法，用于信号的独立分量分析，在ICA的基础上加快了收敛速度，有更高的效率！并且增加了图象界面，使用方便！-FastICA algorithm, the signal for an independent component analysis, at the ICA on the basis of accelerating the convergence rate, a more efficient! And to increase the image user interface
ICAforImage
- Matlab环境下的基于独立分量分析（ICA）算法的图像混合与分离仿真程序．-Matlab environment based on the independent component analysis (ICA) algorithm for image simulation mixed with the separation process sequence.
ICAforsound
- Matlab环境下的基于独立分量分析（ICA）算法的声音混合与分离仿真程序-Matlab environment based on the independent component analysis (ICA) is the voice mixed with the separation of simulation program
ica-and-pca
- 基于matlab环境下的一个独立分量分析的小程序，包括对三个语音信号混合后的ica分析-Analysis program based on an independent component in the Matlab environment, including analysis of three speech signals mixed after ica
Improved-ICA-character-recognition
- 该算法一种结合改进的基于独立分量分析（ICA）提取算法和基于多层感知器和单向二叉决策树的多类支持向量机分类方法。-The algorithm is a combination of improved based on independent component analysis (ICA) algorithm and multi-class support vector machine classification method based on binary decision tree of
ICA
- 基于独立分量分析去除肌电信号中的工频干扰及其谐波分量-Filter the power line interference and its harmonic in EMG
MF-ica
- 一种独立分量分析方法，有应用示例程序，可以用于处理语音信号。-A method of independent compony analysis is used to process sound signals.
MS-ica
- 一种独立分量分析方法，有应用示例程序，可以用于处理语音信号。-A method of independent compony analysis is used to process sound signals.
FAST-ICA
- 1、对观测数据进行中心化，； 2、使它的均值为0，对数据进行白化—>Z； 3、选择需要估计的分量的个数m，设置迭代次数p<-1 4、选择一个初始权矢量（随机的W，使其维数为Z的行向量个数）； 5、利用迭代W(i,p)=mean(z(i,:).*(tanh((temp) *z)))-(mean(1-(tanh((temp)) *z).^2)).*temp(i,1)来学习W （这个公式是用来逼近负熵的） 6、用对称正交法处理下W 7、归一化W(:,p)=W(:,
ica
- 用于独立分量分析的c++原代码自己开发的-Independent Component Analysis for c++ Original code developed their own
ica
- 用于电力系统分析的独立分量分析的MATLAB程序文件。可直接放入MATLAB作为函数调用。-Used in power system analysis and independent component analysis of MATLAB program files.Can be directly into the MATLAB as a function call.
ICA
- 关于独立分量分析在脑电信号处理中用matlab实现的应用-On independent component analysis in the eeg signals processing with the application of matlab
19870363BSS
- 盲分离程序，利用ICA独立分量分析的方法实现了线性混合信号的盲分离-Blind separation procedures, the use of independent component analysis ICA blind separation methods to achieve linear mixed signal
ica
- 独立分量分析算法及其在信号处理中的应用研究一篇很好的文章，我一直在研究它，不敢独享-Independent component analysis algorithm and its application in signal processing of a good article, I have been studying it, not exclusive
ICA
- 快速独立分量分析，间接易懂。很好的程序。-Fast independent component analysis, indirect and easy to understand. Very good program.
7941943ICA
- 独立分量分析代码，ICA的目的就是寻找解混矩阵W(A的逆矩阵)，然后对X进行线性变换，得到输出向量U(Independent Component Correlation Algorithm)
MIToolbox
- 独立分量分析是一种统计和计算技术，用于揭示随机变量、测量数据或信号中的隐藏成分。(In ICA, multi-dimensional data is decomposed into components that are maximally independent in an appropriate sense (kurtosis and negentropy, in this package).the ICA components have maximal statistical indepe
ICA算法
- 盲源分离；混合信号分离； 噪声抑制与信号提取方法与实现；(Independent component analysis)