搜索资源列表
fastICA
- FastICA固定点算法软件包，包括原始图像数据和相应的MATLAB程序，是独立分量分析（ICA)学习者难得的宝贵学习资源-FastICA
FastICA_2[1].5
- 独立成分分析(ICA,Independent Component Correlation Algorithm)简介- FastICA programs: FASTICAG - Graphical user interface for FastICA FASTICA - command line version of FastICA
ICA-10bar
- 10杆桁架结构优化程序，使用最新的帝国竞争算法。请求多多加点数-10 bar truss optimization, very powerful source code, using imperilist competition algorithm.
ICA
- 独立分量分析是20世纪末发展起来的一类多通道信号分解方法，是信号处理技术发展中的一项前沿热点。這些論文介绍预备知识。供从事信号处理的科技工作者自学或进修选用。... -Independent component analysis is developed in the late 20th century a class of multi-channel signal decomposition method is signal processing technology in the devel
fastICA_1.1-11
- 经典的fast ICA程序，用于盲信号的分离,希望能够对大家有帮助！-Classic fast ICA program for the separation of the spread, hoping to help!
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
icaFaces
- ICA编写的一个程序，用于人脸识别。希望对大家有作用。-ICA written a program for face recognition. We want to play a role.
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
fmrlab4.0.tar
- matlab code for doing ICA for fMRI data
DSP_SuanFaCanKao
- DSP算法参考，包括FFT，ICA等算法，非常实用的参考。-DSP algorithm for reference, including the FFT, ICA and other algorithms, a very useful reference.
rakeica_sumee_matlab
- rake ica receiver This program generates the Walsh Functions and does the job of a Code Division Multiple Access (CDMA) Transmitter and Receiver -rake ica receiver This program generates the Walsh Functions and does the job of a Code
Independent_Component_Analysis
- Independent Component Analysis ICA
JnS
- Jade ICA algorithm in C
faceinformax
- 图像 处理基于改进的 ICA算法，进行特征提取-improvedica
infomax
- compute the Independent component analysis (ICA) with the algorithm of infomax
ICA
- 用ICA进行人耳特征的提取，没有自带人耳库，请加上人耳库以后再进行调试-To the human ear with ICA feature extraction, there is no native human ear library, coupled with the human ear library later debugging
icabss
- 一种高效快速的线性混合新河盲分离ICA算法，提供了6个源信号以供参考，分离效果很好-An efficient linear mixed fast ICA algorithm for blind source separation New River, providing 6 source signal for reference, a good separation effect
00002_930831_pr
- ica faces for recognition-ica faces for recognition
12
- ica faces for recognition-ica faces for recognition
ICA
- 利用免疫系统的克隆选择机制，结合粒群优化算法的进化方程。算法的主要特点是利用免疫处理操作，提高种群的多样性，利用进化方程提高收敛速度。-Immune Clonal Algorithm