搜索资源列表
fastICA
- matlabfastica 快速独立分量分析源代码-matlabfastica fast independent component analysis of the source code
fastkcica
- ICA盲源分离/数字信号非高斯性最大化、负熵最大化-fastica toolbox nmf kica
fastICA
- 实现对信号的分布提取，完成对混合信号的辨识，可以在不知道源和传输通道的请况下进行。-Realize the distribution of signal extraction, complete identification of the mixed signal, can not know the source and transmission channel please condition for
fastica-kurtosis
- It is one of blind signal separation algorithm using kurtosis method
fastica-MaxLikelihood
- Blind signal seperation method using maximum likelyhood method
max-fastica
- maximum likelihood method for blind signal seperation
ICA
- 使用java实现了FastICA,但是我是将matlab的ICA函数做成了一个jar包，使用的负熵评测高斯性-Using java realize the FastICA, but I will be an ICA matlab functions into a jar, using a Gaussian negative entropy evaluation
FastCIA
- FastICA 快速独立成分分析 源码、实例-IndependentComponentAnalysis
mix_map_ICA
- 程序将三副图象混合然后采用FastICA算法将其分离.通过ICA能将有用图像分离出来。-Program three mixed images and then be separated using FastICA algorithm.
keyongICA
- fastICA用于信号处理。能实现对通信信号的分离-FastICA used in signal processing. Can realize the separation of communication signals...
fastica1
- 很清晰的fastica算法,主要是有关主元分析的程序，很好的，自己编的，有不会的 可以咨询-it s a progress which is fastica
FastPICA
- fastica是ica的新发展，用于图像处理和特征处理。修改一些参数就可以用，文件包含所用的全部函数-ica fastica is a new development for image processing and feature processing. Some parameters can be used to modify the file that contains all the functions used
FastICA_25
- 芬兰作者提出的FastICA算法，用以解决盲源分离问题，我编写了一个主程序，调用其已经编写好的功能函数，可以查看仿真结果。-Finland FastICA algorithm proposed by the authors to solve the blind source separation problem, I wrote a main program, calling its already written performanc
fastica
- 运用matlab进行快速ica变换，对信号进行预处理-Ica using matlab rapid transformation, the signal preprocessing
FastICA_CPP
- 使用C++语言编写的FastICA算法，并附带有Matrix类。-Use C++ language FastICA algorithm, together with the Matrix class.
fast-ICA.RAR
- FASTICA代码，用于脑电信号分析，有实例。-FASTICA CODE，used for EEG signal analysis，EXAMPLE
kurt_FastICA
- 基于峭度的盲源分离，采用FastICA技术，适合初学者-BSS based on kurtosis by FastICA
FastICA_negentropy
- 基于负熵的盲源分离，使用FastICA技术，适合初学者-BSS based on negentropy by FastICA
my_ICA
- fastica的matlab工具箱代码。可以直接调用。-fastica matlab toolbox code. Can be called directly.
ICA2
- 首先将四个仿真信号混合，得到4组仿真信号，采用FASTICA算法进行盲源分离，得到源信号。-First four mixed signal simulation, emulation signals obtained four groups, using FASTICA blind source separation algorithm to obtain the source signal.