agh_chapter03

通过定义邻接矩阵，计算节点之间的最短路径长度(By defining the adjacency matrix to calculate the shortest path between node length)

This m-file implements the frame difference algorithm for background subtraction.

matlab 最速下降法 源码 关于最速下降法的一个matlab小程序(steepest descent method)

一本很不错的学习matlab的书籍，里面是分章节的，用word分开，很方便阅读(matlab reference)

MATLAB从入门到精通书中第三章的程序(MATLAB from the entry to the master' s program book chapter)

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution

An application for recognising diffrent shapes in matlab

永磁同步风机仿真实例，可用于实际工程算法和研究学习(Permanent magnet synchronous wind turbine simulation example, the algorithm can be used for practical engineering and research learning)

说明：  一篇有关扩展卡尔曼滤波中噪声协方差取值测量的外文文献(Identification of process and measurement noise covariance for state and parameter estimation using extend kalman filter)

目标跟踪问题的应用背景是雷达数据处理，即雷达在搜索到目标并记录目标的位置数据, 对测量到的目标位置数据（称为点迹）进行处理，自动形成航迹，并对目标在下一时刻的位置进行预测。 下文简要讨论了用Kalman滤波方法对单个目标航迹进行预测，并借助于Matlab仿真工具，对实验的效果进行评估。 里面包括三个源程序，和一份实验报告，里面有算法的详细分析和情景假设。(Application of target tracking radar data processing background, that is the search radar to the target and record the location of the object data to the target location of the measurement data (referred to as Plot) for processing, automatic track formation, and the target in the next time to predict the location. Briefly discussed below, using Kalman filtering to predict a single target track, and the help of Matlab simulation tools, experimental results for evaluation. Which consists of three source code, and a test report, which has a detailed analysis of the algorithm and the scenario assumptions.)