Speech-Analysis

svm已经广泛用于解决分类和回归问题。 此工具箱是由South ampton大学的S. R. Gunn编写的Matlab SVM Toolbox。该工具箱运行在MATLAB环境下,由许多用m语言编写的脚本文件和函数组成,为SVM 技术的工程化、实用化提供了一个良好的平台。(South ampton university svm toolbox)

说明：  its matlab code used for design an H2 control system

主成分分析和独立成分分析，可以进行信号处理(Principal component analysis and independent component analysis, signal processing)

这是基于虚拟力的无线传感网络覆盖仿真的源代码(This is based on the virtual power wireless sensor network coverage simulation source code)

可以对图像进行边缘检测，滤波，二值化处理，最后提取图像中的直线。(Edge detection can be carried out on the image, filtering, two value processing, and finally extract the image of the straight line.)

说明：  无监督学习，基于密度的聚类算法，实现分类(Unsupervised learning, density based clustering algorithm to achieve classification)

基于MATLAB的(二维、三维)相机标定（说明书+图片+源程序）(MATLAB-based (two-dimensional, three-dimensional) camera calibration (description+ image+ source code))

matlab PID仿真例子，通过改变PID参数，了解比例积分微分的作用(matlab PID)

matlab支持向量机程序SVM_SteveGu(matlab support vector machine procedures SVM_SteveGu)

在matlab的开发环境中，对图像进行RGB到RLab的转换(The development environment in matlab for image conversion of RGB to RLab)