UWB4

一个遗传算法工具箱，很好用的。一种改进的遗传算法(A genetic algorithm toolbox, very good use. An Improved Genetic Algorithm)

用MATLAB进行探索数据分析，理论和应用同时介绍，并在书中列出不少MATLAB实现的例子(Exploratory Data Analysis with MATLAB, introduce exploratory data analysis methods and algorithms)

采用GA算法解决TSP问题，包含所需的9个m文件和一个测试文本文件。其中bianma.m出现错误提示，尚未解决。仅供参考(GA algorithm to solve TSP, including the 9 m files and a test text file. The which bianma.m error occurs, remain unresolved. For reference only)

采用伪随机原理产生有窗口特性的彩色编码图,对于研究三维重建的朋友有用,采用matlab编写,请多多指教!QQ:526289(using pseudo-random produced a window characteristics of color-coded map, three-dimensional reconstruction of useful friends, prepared using Matlab Please excuse us! QQ : 526289)

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! )

Coordinated Guidance of Autonomous UAVs via Nominal Belief-State Optimization

无线信道ajldzK模型MATLAB仿真程序，实现了lmGTqjB技术下多参数的模拟，最接近物理信道，信道逼近参数接近最小二乘ajldzK算法。 (Radio channelajldzK model MATLAB simulation program, to achieve a multi-parameter simulation lmGTqjB technology, the closest physical channel, the channel parameters close to the least square approximation algorithm ajldzK )

完成智能天线的T程序仿真，通过仿真可以输出天线的MUSIC算法的结果(Smart antenna to complete the T process simulation, simulation can be output through the antenna of the results of the MUSIC algorithm)

基于MATLAB的地震正演模型实现,很适合初学者学习掌握(MATLAB-based seismic forward model implementation, it is suitable for beginners to learn to master)

2D 3D FEM hypoelastic analysis