SVM

ARA – The Ant-Colony Based Routing Algorithm for MANETs

第04讲MATLAB语言基础-数字图像处理课件-matlab语言基础，很适合做图像如理入门使用，(Digital image processing based on matlab language courseware), such as introduction to use, very suitable for image series 1)

说明：  遗传算法优化支持向量机算法,从而更好的提高识别率和预测率(GA-SVM implemented by MATLAB)

MicroWind第2代，著名的微电子开发软件的教学版，适用于一般教学和入门级使用(MicroWind second generation, the famous microelectronics development of teaching software version applies to general teaching and the use of entry-level)

徐荣桥《结构分析的有限元法与Matlab程序设计》源程序(Xu Rongqiao Structural Analysis of the finite element method and Matlab Programming source code)

非常好的一个matlab例程，作用是读取protel的asc文件，并显示绘图。可以作为学习matlab文件处理等函数的例子，是学生的作品，交流学习。(A very good matlab routines, function is to read protel the asc file, and display graphics. Can be used as document processing and other functions to learn matlab example is the work of students and exchange learning.)

Debye级数展开模型，计算均匀球形粒子散射角——散射光强曲线： 1. RB1.m 计算第一类Ricatti-Bessel函数的函数 2．RB2.m 计算第二类Ricatti-Bessel函数的函数 3. Alegendr.m 计算角函数 和 的函数 4. MieCoeff.m 计算米尔系数的函数 5. Amp.m 计算散射光复振幅的函数 6. DebyeIntensity.m Debye级数展开模型画均匀球形粒子散射角-光强图 (Debye series expansion model to calculate the uniform spherical particles scattering angle- scattering intensity curve: 1. RB1.m calculated first class Ricatti-Bessel function of the function 2. RB2.m calculate the second category Ricatti-Bessel function of the function 3. Alegendr.m computing angle functions and function 4. MieCoeff.m Mill coefficient calculation function 5. Amp.m calculate the scattering amplitude recovery function 6. DebyeIntensity.m Debye series expansion model painted uniform spherical particles scattering angle- light intensity diagram)

此程序为标准相关干涉仪测向的程序，包括了相位估计和对算法的评估。(This program is the standard correlation interferometer procedures, including the phase estimation and evaluation of the algorithm.)

The Wavelet Decomposition And Reconstruction Based on The Matlab

matlab的gui教程，非常详细，简单易懂，便于学习，非常适合新手入门(The gui matlab tutorial, very detailed, easy to understand, easy to learn, very suitable for beginners)