pianzuixiaoercheng

针对多目标测控问题，提出了一种实用的利用基于圆阵的数字波束形成技术来实现目标跟踪的系统。在系统实际工作于噪声和干扰环境中时，为避免计算梯度时可能出现的数值突变，提出了一种修正的梯度跟踪自适应算法，可靠地实现了权值更新，并对各阵元输出进行加权合并，以获得最大信号输出，同时实现对目标方位角和俯仰角的自动捕获和跟踪，且跟踪迅速、正确、稳定。仿真结果表明了所提出的方案的正确性。(Monitoring and control for multi-objective problem, a practical circular array-based digital beam forming technology to achieve target tracking system. Practical work in the system noise and interference in the environment is investigated in order to avoid calculate the gradient values may be mutations present a modified gradient tracking adaptive algorithms, reliably achieve the right value update, and the output of the array weighted combined to obtain maximum signal output, while achieving the target azimuth and elevation of the automatic capture and tracking, and tracking fast, accurate and stable. Simulation results show that the proposed scheme is correct.)

此算法描写了怎样根据图片的灰度值来找边界，以及在什么条件下可以作为图像轮廓。(This algorithm describes how to find the gray value according to the picture border, and under what conditions can be used as image contours.)

说明：  中点公式求取导数 三点法求函数的导数 五点法求函数的导数 三次样条法求函数的导数 自适应法求函数的导数 辛普森数值微分法法求函数的导数 (Midpoint formula to strike a derivative of a function point method five-point derivative of the derivative of the function Method cubic spline derivative of a function of the adaptive function of the derivative Method Numerical Differentiation Method Simpson derivative of the function)

lssvm最小二乘支持向量机的主程序，最基本的程序(lssvm the main program, the basic procedures)

自己编的一个matlab 程序，先对图像进行加噪声，然后进行滤波，再进行边缘检测(Made themselves a matlab program, the first increase the image noise, and then filter, then the edge detection)

An Optimum Feature Extraction Method for Texture

<模式识别与智能计算——matlab技术实现>书的配套程序(" Pattern Recognition and Intelligent Computing- matlab technology" book matching program)

User manual 475 Field Communicator

说明：  蚁群算法（ACA)及其Matlab实现，附程序中使用的文件(Ant colony algorithm (ACA) and its matlab implementation, with the files used in the program)

自适应滤波变步长Lms归一化算法的仿真实现程序(simulation in lms normolized algorithm)