sdarticlesOFDM.tar

车牌分割与识别，是现在交通电子眼必备的系统，本程序就是用matlab程序实现车牌的分割与识别，(License plate segmentation and recognition, is now an essential transport system of electronic eyes, the procedure is to use matlab program to achieve license plate segmentation and recognition,)

模拟波在功能梯度材料中的传播，解压后为.m文件(Simulate wave propagation in functionally graded materials, after decompression. M file)

读取国产雷达（中国矿业大学）数据，数据格式为dat(Read the domestic radar (China University of Mining) data, data format for dat)

基于蚁族算法的二维路径规划算法,寻找最短路径(Dimensional path planning algorithm based on ant algorithm)

希望大家共同探讨问题，共同进步，祝大家学业有成！(U.S. to discuss the issue of hope and common progress, I wish everyone with achieving!)

商标的matlab分割源程序。并附matlab画心函数实现程序。(Trademark matlab segmentation source. Together with Matlab painting heart function program. )

K最邻近密度估计技术是一种分类方法，不是聚类方法。 不是最优方法，实践中比较流行。 通俗但不一定易懂的规则是： 1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。 2.选出最小的前K数据个距离，这里用到选择排序法。 3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method. It is not the best method, but it is popular in practice. Popular but not necessarily understandable rule is: 1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov). 2. select the minimum distance from the previous K data, where the choice sorting method is used. 3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)

自编的信号相关性计算的函数，可以应用于两组数据互相关的计算(Composing the signal correlation calculation functions, can be applied to the calculation of two sets of data cross-correlation)

Periodic Noise Reduction by Frequency Domain Filtering

A MATLAB M-file which automates this calculation and plots the resulting torque-speed characteristic is shown below. It peIfonns the same steps as part a to detennine the speed for each load current, and then calculates the induced torque at that speed. Note that it reads the magnetization curve from a file called f i g9 _ 9 . ma t. This file and the other magnetization curves in this chapter are available for download from the book s World Wide Web site (see Preface for details).