matlab-chengxu

this sources code good for study for aplication for 3 G

支持向量机的matlab代码，根据自己需要修改即可(Support vector machine matlab code can be modified according to their needs)

说明：  MATLAB 环境下的 Alamouti qpsk 仿真，可以运行通过(Alamouti qpsk MATLAB simulation environment, you can run through it)

蒙特卡洛方法中随机数的产生和检验，乘同余法。(The Monte Carlo method, random number generation and testing, multiplication congruential method.)

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)

说明：  V/F Control of IM (Scalar control)

是一个matlab包，主要用于关联分析，可以进行简单关联(association rule)

时变参数的TGM（1，1）模型MATLAB的实现(Time-varying parameters of the TGM (1,1) model for the realization of MATLAB)

一些matlab底下的小函数，详细见索引。直接解压，不用密码。(under Matlab some small function, see detailed index. Direct unpack, without a password.)

提出了一种基于人类视觉系统和模糊隶属度函数的小波卫星图像融合新算法,利用小波域的人类视觉系 统经验模型,刻画图像的边缘、纹理及高亮区域, 采用模糊隶属度函数自适应地计算权系数, 在小波域上通过加权 平均实现了图像融合。(Proposed a new algorithm based on human visual system and the fuzzy membership function of the wavelet satellite image fusion using wavelet domain experience in the human visual system model, depicting the image of the edge, texture, and the highlighted area, the use of fuzzy membership function adaptively calculate the weight coefficients in the wavelet domain by the weighted average realized fusion.)