fungry1

互信息matlab, 混沌时间序列分析与预测工具箱 Version1.0 点这里下载: 混沌时间序列分析与预测工具箱 Version1.0 chaotic time series analysis and prediction matlab toolbox - version 1.0 1、该工具箱包括了混沌时间序列分析与预测的常用方法,有 (Mutual information matlab, chaotic time series analysis and forecast Version1.0 point toolbox here to download: Chaotic Time Series Analysis and Forecast of the toolbox Version1.0chaotic time series analysis and prediction matlab toolbox- version 1.01, the kit includes a chaotic time series analysis with the projected common method, there are)

说明：  matlab环境下图象图形处理的基本函数的介绍以及简单示例(matlab environment images deal with the basic function of graphical presentation, as well as simple examples)

说明：  黄华江所著《实用化工计算机模拟—MATLAB在化学工程中的应用》的所有例子源程序(Huang Jiang s book practical computer simulation of chemical-MATLAB in chemical engineering, the source code of all examples)

kalman for real tracking

Level Set Evolution Without Re-initialization一文的matlab实现(Level Set Evolution Without Re-initialization of the matlab realize one text)

MATLAB R2008图形与动画实例教程源程序(MATLAB R2008 graphics and animation tutorial source code examples)

已知地图边界点通过插值求面积，matlab计算面积函数实现。(Known map boundary points by interpolation for the area, matlab calculate the area function implementation.)

说明：  分为三个函数，第一个函数的功能是用于读取ecg信号，找到小波变换模极大序列；第二个函数是子程序，用于多分辨率分解，使用 A trous 算法在分解的过程中，同时给出各级的细节和概貌，它们和原数据有着同样的长度；第三个函数是函数子程序，用于多分辨率分析中的重建。(Divided into three functions, the function of the first function is used to read the ecg signal, find the wavelet transform modulus maxima sequence second function is a subroutine for use in multi-resolution decomposition, the decomposition algorithm using A' trous process, and gives details of all levels and profiles, they are the original data have the same length third function is a function subprogram, for multi-resolution analysis of the reconstruction.)

说明：  层叠滤波方法实现秩排序统计滤波器及其matlab实现(Cascade filter implementation matlab rank order statistic filter and its implementation)

均值漂移的实验环境，可实现边缘检测和影像分割。包含可执行文件和功能说明。(the tool can help designer realize the segmentation by using method of mean_shift.)