搜索资源列表
an_ica_tool
- 一个ICA工具。This binary version of the runica() function of Makeig et al. contained in the EEG/ICA Toolbox runs 12x faster than the Matlab version. It uses the logistic infomax ICA algorithm of Bell and Sejnowski, with natural gradient and extended
extend_Infomax
- infomax的ICA算法的扩展程序源码
ICA
- 用于脑电信号特征提取的InfoMax Algorithm Based on ICA；也可以稍作改动用于其他信息提取。-for feature extraction InfoMax Algorithm Based on ICA; Minor modifications can be used to extract other information.
icaMF
- ICA算法The algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The
infomax
- informax ica算法，用于脑电信号识别-informax ica algorithm for signal recognition to make point
ica.infomax
- 一个非常经典的独立元分析程序包，可以应用在图像处理，故障诊断-a very classic ICA program packet ,which can be used in picture processing and fault diagnosis
infomax
- compute the Independent component analysis (ICA) with the algorithm of infomax
Maximum-likelihood-(Infomax)
- 基于Maximum likelihood准则的ICA算法 -the ICA algorithm based on Maximum likelihood
code
- 独立主成分分析与主成分分析代码，速度比较快，而且比较好用-In these first experiments, both ICA and whitened PCA are used to compress the data, and all the components are used for classifying the examples. The classifier used is a 1-NN with Euclidean distance. The results shown i
98936613InforMaxICA
- 极大化非高斯性的infomax ICA。和好很强大，希望对大家有所帮助-The maximization of non-Gaussian nature infomax the ICA. Very powerful and good, we hope to help
fICAAraro
- 用于脑电信号特征提取的InfoMax Algorithm Bassed on ICA；也能稍作改动用于其他信息提取。 -Feature extraction for EEG InfoMax Algorithm Bassed on ICA minor modifications for other information extraction.
infomaxICA--edge-detection
- infomax ICA的算法实现，并在其中给出了一个infomax ICA的算法用于图像边缘检测的例子-infomax ICA algorithm, which gives an infomax ICA algorithm for image edge detection example
infomax
- 一种在盲源分离中用到的互信息最大化Ica算法的matlab程序-Mutual information maximization Ica used a blind source separation algorithm matlab program
基於infomax的自适应ICA演算法
- 此程序含自变步阶，建议初始步阶参数设定为0.1、增步阶1.2、减步阶0.1。源码内有把每次叠代的打印指令mute掉，把%符号拿掉即可观察数据的散点图
盲源分离
- 常用的盲分离算法有二阶统计量方法、高阶累积量方法、信息最大化（ Infomax ）以及独 立成分分析（ ICA ）等。这些方法取得最佳性能的条件总是与源信号的概率密度函数假设有关， 一旦假设的概率密度与实际信号的密度函数相差甚远，分离性能将大大降低。本文提出采用 核函数密度估计的方法进行任意信号源的盲分离，并通过典型算例与几种盲分离算法进行了 性能比较，验证了方法的可行性。(The commonly used blind separation algorithms include
21840311ica
- 用于脑电信号特征提取的infomax算法，基于infomax的ica算法的代码(Infomax algorithm for feature extraction of EEG signals, code based on infomax's ica algorithm)