SBM

支持向量机Matlab工具箱1.0 该工具箱包括了二种分类,二种回归,以及一种一类支持向量机算法 工具箱中所有程序均在Matlab6.5环境中调试通过(Support Vector Machines Matlab Toolbox 1.0 The toolbox includes two kinds of classification, two kinds of regression, as well as a one-class SVM algorithm toolbox all procedures are in Matlab6.5 debugging environment through)

用基于 Matlab 的小容量 FFT (比如 256×256)程序，将取样窗口划分为 若干个全等的小矩形,对每个小矩形内离散点的复振幅作 FFT 变换,然后将所有变 换结果叠加，再乘以复数相位因子,相当于对整个物面上点进行菲涅耳衍射计算， 利用这种方法可以迅速的实现高精度的轴对称傍轴光学系统中的激光衍射计算 (With a small volume based on Matlab FFT (eg 256 × 256) procedure to sample window divided into a number of small identical rectangles, each small rectangle of discrete points within the complex amplitude for the FFT transform, and then transform the results of all the superposition multiplied by the complex phase factor, the equivalent point on the object plane Fresnel diffraction calculation, the use of this method can rapidly achieve high-precision optical system axis of symmetry in the paraxial calculation of laser diffraction)

matlab实例编程一百个源程序，内有运行后界面图像＆源代码(100 source files, after running within the interface images & source code)

实现butterworth滤波器,能够输出幅频特性曲线(Realize Butterworth filter, to output the amplitude-frequency characteristic curve)

一个使用MATLAB的例子，在电机调速方面的应用。(an example of the use of MATLAB, the motor on the application.)

基础的activity引擎测试demo实例(basic activity demo)

simulation of spring system

This document is intended to serve as an introduction to Wavelet processing through a set of Matlab experiments. These experiments will gives an overview of three fundamental tasks in signal and image processing : signal, denoising and compression. These scripts are selfs contents (needed additional Matlab functions can be downloaded while reading the lectures). Each one of these five lectures should take between 1h and 2h in order to tests the various features of the scripts. One should copy/paste the provided code into a file names e.g. tp1.m, and launch the script directly from Matlab comand line > tp1 . Some of the scripts contains "holes" that you should try to fill on your own. I also provide the complete correction of these lectures as a set of Matlab scripts, but you should try as much as possible to avoid using them. (This document is intended to serve as an introduction to Wavelet processing through a set of Matlab experiments. These experiments will gives an overview of three fundamental tasks in signal and image processing: signal, denoising and compression. These scripts are selfs contents (needed additional Matlab functions can be downloaded while reading the lectures). Each one of these five lectures should take between 1h and 2h in order to tests the various features of the scripts. One should copy/paste the provided code into a file names eg tp1.m, and launch the script directly from Matlab comand line> tp1. Some of the scripts contains holes that you should try to fill on your own.I also provide the complete correction of these lectures as a set of Matlab scripts, but you should try as much as possible to avoid using them.)

说明：  该算法是结合减法聚类与FCM聚类算法融合的远代码。算法通过融合这两种算法，从而可以直接在线确定聚类数目。(The algorithm is combined with Subtractive Clustering with FCM Clustering Algorithm far integration code. Algorithm through the integration of these two algorithms, which can be directly online to determine the number of clustering.)

基于图象的数据隐写和提取matlab代码(image-based data extraction and steganalysis Matlab code)