GA-GLM-FS

Learning Vector Quantization (LVQ) is a supervised version of vector quantization

解决多目标线性问题 解决多目标带约束条件的例子(To solve the multi-objective linear problem)

说明：  HS光流法提取关键帧,该方法简单易于实现(opticalflow extract key frame)

说明：  consists of communication system

support vector machine （支持向量机）方法是目前分类方法中比较好的一个分类方法，实验证明准确度非常高！(support vector machine (support vector machine) method is a better classification of a classification method, experimental proof of a very high accuracy!)

说明：  matlab 计算结构动力学在工程中的应用(matlab structure application in structure)

dct2的编程实现，用来压缩灰度图像，需要修改输入的图像名，保持和程序里的名称一致(dct2' s programming is used to compress grayscale images, need to modify the input image name, the name of maintaining and procedures where the same)

matlab下利用钜量法计算天线的阻抗矩阵。(matlab for MoM)

说明：  本文描述的一个定义的阵的方向图，结果可知道增益和带宽等信息；和一个自适应的介绍PPT(Direction of the array of FIG one of the definitions described herein, the results can know information such as gain and bandwidth , and the introduction of an adaptive PPT)

Norden E. Huang写的关于HHT变换的介绍及其相关问题(Norden E. Huang Transform to write an introduction on the HHT and related issues)