天然气输气管道单管计算起点压力,MATLAB编的,参看的李长俊的教材...

该代码用于实现粒子滤波视觉目标跟踪(PF)、卡尔曼粒子滤波视觉目标跟踪(KPF)、无迹粒子滤波视觉目标跟踪(UPF)。它们是本人这两年来编写的核心代码，用于实现鲁棒的视觉目标跟踪，其鲁棒性远远超越MeanShift(均值转移)和Camshift之类。用于实现视觉目标跟踪的KPF和UPF都是本人花费精力完成，大家在网上是找不到相关代码的。这些代码虽然只做了部分代码优化，但其优化版本已经成功应用于我们研究组研发的主动视觉目标跟踪打击平台中。现在把它们奉献给大家！(These codes are used to realize particle filter based visual object tracking (PF), kalman particle filter based visual object tracking, unscented particle filter based visual object tracking. Their robustness is far beyond the classical visual object tracking algorithms such as Mean-Shift (MeanShift) and CamShift。The codes of KPF and UPF for visual object tracking cost a great of my energy, and you can not find any relating algorithm codes on internet! Our research group have optimized these codes and applied them to develop a platform for active visual object tracking. Now, I dedicate them to you and wish you love them! )

用MATLAB编写的俄罗斯方块，主要是熟悉如何添加背景音乐和详细的游戏程序。(Tetris written using MATLAB, mainly familiar with how to add background music and detailed games.)

基于MATLAB的手写数字识别，很多时候我们都用到手写数字，过程1．对所给出的图像进行预处理使得方面后面的数字识别操作，包括图像的二值化等 2．对图像进行图像的形态学操作，让数字变得闭合，方便进行数学形态学的计算 3．用鼠标提取每个数字的图像，并对每个数字图像作出包含连通区域的矩阵 4．根据数字的欧拉数和每个数字的其他不同特征识别数字 5．最后把识别的数字保存起来

This is a collection of m-files I created to complete a research project into the DC components of various encoding techniques. Eight of the files create random bit sequences that conform to their coding requirements. The others were files I found useful in the scope of the project and supplement the generating m-files. (This is a collection of m-files I created to complete a research project into the DC components of various encoding techniques. Eight of the files create random bit sequences that conform to their coding requirements. The others were files I found useful in the scope of the project and supplement the generating m-files.)

说明：  本书讲述数字信号处理的实现,并对DSP中大多数的MATLAB函数都做了详细的说明.(Book tells digital signal processing realization and DSP in Most MATLAB functions done detail.)

Matlab implementations of algorithms from Rasmussen & Williams "Gaussian Processes for Machine Learning", the MIT Press 2006.

采用卡尔曼滤波法进行电池参数辨识,结果准确，辨识精度高(Identification of battery parameters by using Kalman filter method)

主同步信号PSS在时域上的相关仿真，均值便宜跟踪的示例，用于图像处理的独立分量分析，重要参数的提取，旋转机械二维全息谱计算，在MATLAB中求图像纹理特征。

proyecto de sistema de informacion

这是一个 PINS工具盒，它包含了许多导航的情况，已被证明是正确，有不同的导航模式，值得学习和借鉴