qmle

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.)

MATLAB语言的概述与简介 请大家好好看看你 很好的(MATLAB)

Sensoer code is realted to loacalization that is written in matlab programming..

说明：  低循环疲劳试验数据的异方差回归处理。可以获得材料的疲劳参数(Low cycle fatigue test data, heteroscedastic regression treatment. Material fatigue parameters can be obtained)

基础的牛拉法计算潮流的程序，适合初学者参考，(Calculated based on the trend of the ox-drawn process)

可用来计算直杆上一维热扩散问题，可以更改初值(Implicit scheme)

《MATLAB在控制系统中的应用》实例程序，随书光盘(MATLAB application in control system" program, CD with the book)

其文章包含4个文件:些文件是基于matlab的源程序:P0309：运用5种不同的梯度增强法进行图像锐化P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图P0312利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处(The article contains four documents: these documents is based on the matlab source: P0309: the use of five kinds of different gradient enhanced image sharpening method P0310: Image of high-pass filtering and mask handle P0311: the use of Butterworth (Butterworth) low-pass filter for noise interference by the use of the map P0312 Butterworth (Butterworth) high-pass filter for image sharpening Department)

这是个循环的LMS算法，自适应课程的基本LMS算法过程~(This is a cycle of LMS algorithm, LMS adaptive algorithm for the basic process of course ~)

说明：  这是一个小巧的指针类.在这里提供了两个主类CountedPtr和BackPtr,可以使用在任何环境中(This is a small target category. Here the two main categories CountedPtr BackPtr and can be used in any environment)