runs

该源代码是实现离散小波变换的代码 只要对相应入口参数根据实际应用做一修改就可以应用。(This resourse codes is for deciate wavelate trasformation.)

用matlab实现的canny边缘检测 (Using matlab implementation of the canny edge detection )

ACO求解QOS路由问题。该文件完全实现了蚁群算法求解QOS路由问题，取得了不错的效果。用matlab打开该文件，将文件中的输入参数列表复制到运行窗口中，然后运行该文件即可。(ACO routing problem solving QOS. This document is the ant colony algorithm to achieve QOS routing problem, and achieved good results. Using matlab to open the file, the file copied to the run input parameters list window, then run the file.)

经典的视觉显著性算法BMS的Matlab代码。(The classic visual saliency BMS algorithm Matlab code.)

Matlab中实现轮对分析的程序以及相关的程序包,可以实现火车轮轨接触关系的分析(Matlab achieving round of analysis of the procedures and the relevant package, can be achieved train wheel-rail contact between the analysis)

基于EMCA368国际标准的物理层超宽带协议的基本仿真程序,都是自己编写的(Based on international standards EMCA368 UWB physical layer protocol of the basic simulation program, are prepared in their own)

该实验室用MATLAB环境下实现特殊边界的一些值，通过仿真实现图形的描绘。是电磁场学习的好帮手。(The laboratory MATLAB environment to achieve some of the special boundary value of graphic descriptions by Simulation. Field study is a good helper.)

利用现代谱估计中的AR 模型求取仿真噪声信号和真实噪声信号的模型参数，然后利用这些参数求得信号的功率谱图，通过功率谱图定性地描述主噪声源和次噪声源。在利用信号功率谱图定性描述噪声源后，进一步地利用曲线相似度和曲线关联度定量的识别主噪声源和次噪声源(Use of modern spectral estimation of AR model to strike a realistic simulation of the noise signal and noise model parameters, and then use these parameters obtained by the signal power spectrum, power spectrum qualitatively described by the main noise source and the second noise source. In the use of qualitative description of the noise signal power spectrum of the source, the further use of the correlation curve and the curve of quantitative similarity identification of the main noise source and the second noise source)

说明：  一个使用遗传算法整定PID参数的例程，使用M文件调用Simulink模型。(A routine that uses genetic algorithms to tune the PID parameters uses the M file to call the Simulink model.)

Chapitre estimation et observation du flux rotorique Section Observateur du flux rotorique Le fichier <<Sol_Erreur_esti_Vers1.m>> est la solution de l exercice, page 254,dont l objectif est d être capable de simuler l évolution de l erreur d estimation lorsque l observateur de Verghese est utilisé à l aide de <<Matlab>>.