搜索资源列表
eeglab4.4.tar
- 含有多种ICA算法的eeglab工具箱-containing multiple ICA algorithm eeglab Toolbox
icalab
- The ICA/BSS algorithms are pure mathematical formulas, powerful, but rather mechanical procedures: There is not very much left for the user to do after the machinery has been optimally implemented. The successful and efficient use of the ICALAB stron
cfastica
- Fast ICA，一种ICA的快速算法，有完整的论文（两种格式，pdf和ps的）-Fast ICA, the ICA a fast algorithm, a complete paper (both formats, pdf and ps)
ICA_demo_fMRI
- ICA can be used in brain activation studies to reduce the number of dimension and filter out independent and interesting activations. This demonstration shows two studies. One provided by Hvidovre Universitets Hospital, Denmark, that consists of fMRI
ICA_demo_text
- ICA is used to classify text in extension to the latent semantic indexing framework. ICA show to align the context grouping structure well in a human sense [1], thus can be used for unsupervised classification. The demonstration shows this on medical
FastICA25
- 快速ICA算法，在盲源分离中有很大的用处。-fast algorithm, the blind source separation is very useful.
ICAbss
- 串音误差检测，利用ica算法实现盲信号分离，以及检测输入信号叠加分离后的误差-crosstalk error detection algorithm using ica Blind Signal Separation. the input signal detection and separation of superposition error
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.
kernel-ica1_2.tar
- 核ICA的工具箱，用于独立分分量分析，盲源信号分离（BSS）-nuclear ICA toolbox for independent sub-component analysis, Blind Source Separation (BSS)
single_linear_interpolation_correlation
- 在MATLAB环境下，使用ICA方法分离单路观测数据的程序！-in MATLAB environment, the use of ICA separated one-way observation data for the procedure!
ica_demo
- ICA算法的一个例子，适于初学者。其中采用实际的数据进行盲分离。-ICA an example of the algorithm, suitable for beginners. The actual use of these data for blind separation.
MutualInformationICA
- 一种新的ica算法，主要是应用与盲分离算法，大家可以-ica a new algorithm, and are primarily used to blind separation algorithm, we can s
新建文件夹
- ICA(独立成分分解),可实现采集信号中源信号的分离，便于提取特征量，实现模式识别。同时由于可以将源信号分离开来，可实现信号的降噪，去掉基波、三次谐波、五次谐波等(ICA (independent component decomposition) can realize the separation of the source signals in the acquisition signal, and facilitate the extraction of the feature quant
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
GroupICATv4.0b
- 实现fmri的ICA和IC selection的操作，找出与所需模板template对应的成分(Implement the operation of fMRI's ICA and IC selection, and find out the components corresponding to the required template template)
ica
- fastica例程与演示程序(FastICA routines and demo programs)
ICA
- 一种特征提取方法：独立成分分析（ICA)(A feature extraction method: independent component analysis (ICA))
FastICA
- 这是一份关于fast ica的matlab代码，用户可以用于信号的盲源分离。(This is a fast ica matlab code, users can be used for signal blind source separation.)
10.1016@j.jsv.2016.01.046
- 基于EEMD的回转支承故障多尺度ICA方法 检测与诊断(EEMD-based multiscale ICA method for slewing bearing fault detection and diagnosis)
MATLAB ICA独立分量分析算法
- MATLAB ICA独立分量分析算法，用于信号的盲源分离。该mat文件为快速独立分量分析算法，包括去均值，白化，fastica