CI

说明：  在matlab环境下编写的完整程序。其中包含DA AD 转换(Written in the matlab environment, the full program. Which contains the DA AD conversion)

说明：  基于灰色预测，指数平滑预测的几个MATLAB程序，对于预测类问题的数学建模，可以说是必备程序。我的导师给我传的。 funesm1,2,3分别为一二三次指数平滑预测程序 fungry为灰色预测程序 funcoef为时间序列预测程序 pudn为广大的编程爱好者提供了一个交流的平台，我在此先谢谢网站的工作人员，我也会努力编出好的程序，一起同大家分享。(Based on Gray predicted that the number of exponential smoothing forecasts MATLAB procedures, issues for the prediction of the mathematical modeling, can be said to be an essential procedure. My mentor gave me spread. funesm1, 2,3 were 123 times procedures fungry exponential smoothing forecast procedures funcoef gray prediction for time series forecasting procedures for pudn programming for the majority of fans provided a platform for exchange, I would like to thank the site staff, I will strive for a good program, to share together.)

说明：  采用有限差分法计算屏蔽微带传输线的电位及其电容，程序由matlab实现(Finite difference method using shielded microstrip transmission line potential and its capacitance, procedures to achieve by the matlab)

matlab是重要的数值仿真软件，具有强大的数值图示能力，上传几本关于matlab的书籍，希望对大家有帮助。(matlab simulation software is an important value, the value of the icon with a strong ability to upload several books on matlab, I hope to help everyone.)

cohen类信号的双线性信号时频分析，page分布，该函数用于计算离散时间信号X的page分布，或良信号的互page表示。(cohen category signals bilinear time-frequency analysis, page distribution, the function used to calculate the discrete-time signal X s page distribution, or good signal that each page.)

用matlab实现的动态矩阵仿真程序，学预测控制的朋友可以看看啊(Achieved with dynamic matrix matlab simulation program, predictive control school friends can take a look at ah)

详细讲述了matlab的用法 历程 对初学者很是有用(Described in detail the course of Matlab usage is very useful for beginners)

IEEE 配电系统54节点负荷、线路阻抗等(IEEE case54)

本文档含两个m文件dial.m和 dijkstra1.m ，dial需要调用dijkstra1。(This document contains two m files, dial.m and dijkstra1.m. Dial needs to call dijkstra1.)

基于视频图像的车牌定位程序，其中预处理包括图像二值化、边缘提取、图像滤波和形态学处理的等等，最后利用投影进行车牌定位。(License Plate Location Based on Video Image program, which includes image binarization pretreatment, edge extraction, image filtering and morphological processing, etc. Finally, projection for license plate location.)