simulink_matalbjiaohu

说明：  一本关于蚁群算法的书籍,可以帮助初学蚁群算法的人提供思路(book on the ant colony algorithm)

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! )

Read a file into a matrix and display it on the screen using the MATLAB commands imagesc and axis.

有关于mimo系统的多用户检测的仿真，分别对1发4收、2发4收、3发4收、4发4收的情况进行的仿真，并给出了误码率曲线图(Mimo systems on the detection of multi-user simulation, respectively, close to 1 made 4, 2 fat, 4 close, 3 fat, 4 close, 4 fat, 4 close to the situation of the simulation, and gives a bit error rate curves)

说明：  8，16，64进制的qam 星座图转换，MATLAB程序(8,16,64 qam constellation hex conversion, MATLAB program)

Visual C matlab 图像处理与识别实用案例精选(visual C matlab)

Matlab code that implements the Shooting Method in the context of Differential Equations

基于快速模拟退火反演算法采用地震数据反演反射系数，进而可以很好地预测出弹性参数。(Based on fast simulated annealing inversion algorithm using seismic data inversion reflection coefficient, which can well predict the elastic parameters. )

这是龚纯《精通MATLAB最优化计算》随书源码(M文件)。基于MATLAB优化工具箱，代码包含的内容有：牛顿法等无约束一维极值问题、单纯形搜索法等无约束多维极值问题、Rosen梯度投影法等约束优化问题、L-M法等非线性最小二乘优化问题、线性规划、整数规划、二次规划、粒子群优化、遗传算法。(This is pure Gong " Mastering MATLAB optimization calculations," with the book source (M file). Based on MATLAB Optimization Toolbox, the content code contains: Newton and other non-binding one-dimensional extremum problems, such as simplex search method for unconstrained multi-dimensional extremum problems, Rosen gradient projection method and other constrained optimization problems, LM non-linear law least squares optimization problem, linear programming, integer programming, quadratic programming, particle swarm optimization, genetic algorithm.)

模糊控制一级线性倒立摆系统MAtlab、simulink仿真(A linear inverted pendulum fuzzy control system MAtlab, simulink simulation)