fun_DBF

％本程序功能是计算2幅彩色图像的PSNR,以此来评价图像处理的效果％％％％％％％％％ ％ 运行的结果保存在变量PSNR中( This program features the calculation of two color images of the PSNR, in order to evaluate the effect of image processing the results of running stored in variables in PSNR)

经典的matlab算法代码，包括顶点覆盖近似算法，哈密尔顿回路，最短路和次短路，最短路径等等。(Classical algorithm matlab code, including the vertex cover approximation algorithm, Hamilton circuit, the most short-circuit and sub-circuit, the shortest path and so on.)

Permission is hereby granted, free of charge, to any person obtaining a copy of this Software without restriction, subject to the following conditions: The above copyright notice and this permission notice should be included in all copies or substantial portions of the Software. The Software is provided "as is," without warranty of any kind. Created: May 2, 2007 Last modified: Jan. 8, 2009

此程序内包含三相异步电机的调速各种仿真，希望对大家有用。(This program contains a variety of three-phase induction motor speed control simulation, want to be useful to everyone.)

功率谱估计的arburg算法，估计效果非常好，欢迎下载(Arburg power spectrum estimation algorithm, the estimated effect is very good, welcome to download)

space vector modulation simulation

高等应用数学问题的Matlab求解范例第2版，网上全部都是第一版的，第2版的几乎没有，全部范例是亲自调试过。还包含相应的工具箱。减去你下载工具箱的烦恼。(Higher Applied Mathematics Matlab in example 2, online all the first edition, version 2 is almost all examples of personally debugging. Also contains the corresponding toolbox. Subtract your download toolbox troubles.)

A Guide to MATLAB for Beginners and Experienced Users

matlab统计函数介绍ppt-包括统计中的基本函数(statistical functions matlab ppt-presentation of the basic functions, including statistical)

Implement the K nearest neighbor algorithm by your own instead of using available software. 2. Use K-fold cross validation to generate training and testing datasets. You should try different K values (3~8) to see how they affect your result. 3. Train the classifier using your training dataset, and test the classifier using your testing dataset. 4. Repeat the experiment (Step 2 and Step 3) 30 times. For each time, you need to record the training data accuracy and testing data accuracy. Finally, you can obtain the average training data accuracy and average testing data accuracy.