matlab入门

说明：  这是一个mantlab的程序，如果大家有需要的话 请下载！(it is matlab,please download it is free! and if you have any other problem!call me !)

采用m-line方法，matlab编程，通过棱镜耦合角计算波导薄膜的厚度h和折射率n。(Using m-line method, matlab programming, through the prism waveguide coupling angle calculated film thickness h and refractive index n.)

gmsk modulation of numerical data generated by a random source, the output of the modulator give two signals, the first is gmsk signal and the other is gaussien frequency pulse shape

《雷达成像技术》，刘永坦院士的书，就不用多介绍了(" Radar Imaging" , Academician Liu Tan book, do not need to introduce more of the)

matlab电子教案，适合于初学者，包括操作基础，绘图(Matlab electronic lesson plans, suitable for beginners, including operating basis, mapping, etc.)

Telecom Network Analysis

说明：  汽车车牌识别的matlab环境下的程序源码(License Plate Recognition)

用有限元方法解偏微分方程的算例。区域是[0,1]*[0,1]的正方形区域，区域剖分网格是标准正方形。区域剖分、节点计算、转化成代数方程求解，结果画图显示及txt结果输出，每一步都很详细。(Two-dimensional numerical example of using the finite element method for solving partial differential equations . Region is a [0,1]* [0,1] of the square region, a square region of a standard mesh grid. Regional split, node calculation, converted into algebraic equations, the results display and txt file result output, each step is very detailed.)

本文件是是我们组参加2013全国大学生数学建模的比赛论文，荣获全国2等奖，不信可以百度下，包括所有论文程序的附件，完整版，程序包括matlab的程序，有神经网络的程序，基于小波分析的程序，也有基于vissim交通流的仿真程序包！相当给力！程序阅读和说明都在上面！(This document is our group to participate in the 2013 national college tournament mathematical modeling papers, won the two prize, do not believe you can Baidu, the program includes all papers attachments, full version, matlab procedures, including procedures, a neural network program, Based on wavelet analysis procedures, there are also based vissim traffic flow simulation program package! Quite a force! Read the instructions and procedures are in it!)

這是一個可以自動尋找图像中的長方形, 正方形, 圓形, 菱形的程式(1- Read the RGB (colored) image in from user. 2- Convert image from (RGB) colored to gray image. 3- Threshold the image (convert gray image to binary image). 4- Invert the binary image (in order to speed up the time of processing). 5- Find the boundaries concentrate. 6- Determine shapes properties (ratio of dimensions, roundness). 7- Classify shapes according to its properties. )