搜索资源列表
ICA
- 独立分量分析代码（matlab编写）有很强的试用价值
feipca.rar
- 非线性PCA算法matlab程序段，完成独立分量分析的主分量分解,Non-linear PCA algorithm matlab program segment, the completion of independent component analysis of the principal component decomposition
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.
fast-ICA
- fastICA2.5 ICA算法，使用快速独立分量分析（ICA）算法进行特征提取-fastICA2.5 ICA algorithm, the use of fast independent component analysis (ICA) feature extraction algorithm
InforMaxICA
- 基于Informax判据的ICA算法，属于独立分量分析的一种。-Informax the ICA-based criterion algorithm, belonging to an independent component analysis.
FastICA
- FastICA快速独立分量分析的MATLAB源代码，功能全面，有简洁易用的figure界面，操作容易上手，能处理多路混合信号，并输出计算结果，生成信号的图形，便于进一步的分析-FastICA fast independent component analysis of MATLAB source code, there are simple and easy to use interface, figure, operating particularly easy to use, able to
NonlinearICA_Toolbox
- 非线性独立分量分析(ICA)源码,主要是用于非线性ICA进行盲源分离算法的函数-independent component analysis (ICA)
ST4
- 独立分量分析之四阶距方法的程序，采用matlab编写-Independent component analysis of four bands from the methods of procedure for the preparation of matlab
jader
- 特征矩阵的联合对角化法（JADE），独立分量分析（ICA）的一种方法，用matlab编写-Characteristic matrix of the joint diagonalization method (JADE), independent component analysis (ICA) is a means to prepare with matlab
trained_blindandsemi-blinddetection-matlab
- 一篇基于独立分量分析（ICA）的盲信道MATLAB程序-1 Based on Independent Component Analysis (ICA) for blind channel MATLAB program
FastICA_21
- 快速独立分量变换，可用于信号特征的提取以及端点检测等，非常好用！-Fast independent component transform, can be used for the extraction of signal characteristics, such as endpoint detection, as well as very easy to use!
myfica
- 基于不动点的快速ica算法 该算法能有效地分离独立分量-Based on fixed-point algorithm for fast ica algorithm can effectively separate the independent components
ICALAB_last
- 独立分量ica：快速ICA算法软件包是基于MATLAB程序实现的快速定点独立成分分析和投影寻踪算法。它具有一个易于使用的图形用户界面，以及强大的计算算法。-The FastICA package is a free (GPL) MATLAB program that implements the fast fixed-point algorithm for independent component analysis and projection pursuit. It features an
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
fasticaalgorithm
- 对接收信号进行分离是信号处理过程中经常用到的，然而在完全不知道接受信号先验知识的情况下进行分离就是所谓的盲源分离，此程序就是重多盲源分离算法中重要的一种快速独立分量分析盲源分离算法——FASTICA-Separation of the received signal is the signal processing is often used, but do not know to accept in full prior knowledge of the signal to separate
q
- 基于松弛因子的快速独立分量分析算法的遥感图像分类技术-Relaxation factor based on the fast Independent Component Analysis Algorithm for remote sensing image classification techniques
libsvm-errorcode
- 新独立分量分析的算法，主要用于盲信号的分离计算-The newly independent component analysis algorithms, mainly for blind signal separation of the calculation
fastica
- fastica定点独立分量分析方法非线性函数选择tanh(a1y)-fastica fixed-point independent component analysis of nonlinear function selection tanh (a1y)
fastica
- 快速独立分量分析的工具包。 FastICA工具包。 网友提供，非官方版本。-Fast Independent Component Analysis Toolkit. FastICA kit. User provided, unofficial version.
ICA-NET
- 独立分量分析法结合神经网络用于股票价格预测-Integrating independent component analysis-based denoising scheme with neural network for stock price prediction