codes

一维FDTD的MATLAB源程序，以正弦波在均匀介质中传播为例。(One-dimensional FDTD source code in MATLAB to sinusoidal inhomogeneous media in the spread as an example.)

蚁群算法的一个程序，可以优化用来做机器人路径规划用(Ant colony algorithm is a procedure can be optimized to make use of robot path planning)

解耦控制源代码，包含20多个实例，由浅入深，是在matlab中实现解耦控制。(Decoupling control source code, including more than 20 examples, 2 is in matlab realize decoupling control.)

p1 - the first parent p2 - the second parent bounds - the bounds matrix for the solution space Ops - Options matrix for simple crossover(p1- the first parent p2- the second parent bounds - the bounds matrix for the solution space Ops - Options matrix for simple crossover)

说明：  图像拼接，使用此代码可以方便的将一幅灰度图像或者彩色图像进行横向或者纵向拼接(Image mosaic, the use of this code can easily be a grayscale image or color image mosaic of horizontal or vertical)

利用最大熵进行谱估计。本程序为matlab程序。(Using the maximum entropy spectrum estimation. This program is matlab program.)

GPS软件接收机的算法，很大的一个程序，看懂了必须会对你的GPS学习及应用有很大帮助(GPS software receiver algorithms, a great program, read must be your the GPS learning and application of great help)

这个文件是建立光伏MPPT模型十分有用的文件，能帮助建立matlab模型(This document is to establish the model of photovoltaic MPPT very useful document that can help build matlab model)

在基于前景检测的基于移动物体检测和车辆跟踪算法的实现中，针对广泛的应用来实现读取AVI文件，并将其分解为R，G和B组件。 执行各种操作并检测移动物体。 各个阶段的阈值决定了识别某些尺寸的移动物体的可能性。 移动物体也在其中跟踪。 MATLAB用于实现算法。 该算法用包含120帧的输入avi格式视频文件进行测试。 研究并实现了这些算法的各种应用。(In this foreground detection based moving object detection and vehicle tracking algorithm is implemented targeting a wide class of applications. An AVI file is read and it is decomposed into R, G and B components. Various operations are carried out and the moving objects are detected. Thresholds at various phases are decide the possibility of identifying the moving object of certain sizes. Moving objects also tracked in it. MATLAB is used for implementation of the algorithm. The algorithm is tested with input avi format video files consisting of 120 frames. Various applications of these algorithms are studied and implemented. Main focus is given on (unmanned aerial vehicle) UAV based and automatic traffic estimation applications)

模糊控制自整定PID,simulink环境下的算法仿真。(Fuzzy control self-tuning PID, simulink environment simulation algorithm.)