ciccomp

独立成分分析( I C A) 是一项把混合信号分解成具有统计独立性成分的新技术 。I C A近年已在生物医 域的信号分离中展示 了很好的应用前景 。 我们比较系统地介绍了 I C A的基本原理 、 主要算法 、 应用和 究的发展方向，旨在进一步推动有关的理论与应用研究工作。 (Independent Component Analysis (ICA) is a decomposition of the mixed-signal components into a statistical independence of the new technologies. In recent years, ICA has been in bio-medical domain signal separation show a very good application prospects. We systematically introduced the basic principle of ICA, the main algorithms, applications and the development direction of research aimed at further promoting the application of the theory and research.)

image 2d enchancement using redundant discrete wavelet algorithm

二维规划问题的蚁群算法，应用蚁群算法，求解二维凸规划问题，实测可用。(Ant colony algorithm for two-dimensional problem, ant colony algorithm is applied to solve the two-dimensional convex programming problems, can be measured.)

Matlab programm to calculate the angle of incident beam with gaussian profile.

MATLAB基础教程MATLAB基础教程MATLAB基础教程MATLAB基础教程(MATLAB)

LFM 抽取处理 D=5 LFM加SNR=10dB LFM加10dB噪声抽取输出需加滤波器(LFM draw sample D=5，LFM was added with noise，and SNR=10dB)

matlab code for face recognition

基于台湾大学林智仁教授开发的LSSVM工具箱编写的鸢尾属植物分类程序，基于四个特征中的后两个进行的分类，分类效果相当好！(classification for iris data using lssvm)

这是基本的人工鱼群算法的matlab程序的实现，方便理解和学习(This is the realization of the basic artificial fish swarm algorithm matlab program to facilitate understanding and learning)

联合迭代重建技术(SIRT) 实现了SIRT算法解决方程组迭代。(Simultaneous iterative reconstruction technique (SIRT) to achieve the SIRT iterative algorithm to solve the equations.)