function

目前常用的张正友的摄像机标定方法，对畸变系数增加了切向畸变，结果精度很高，可直接应用于程序中。(Zhang is currently commonly used in the Friends of the camera calibration method, the distortion coefficient increased tangential distortion, resulting in high accuracy can be directly applied to program.)

Matlab多种图像边缘检测方法 1、用Prewitt算子检测图像的边缘 2、用不同σ值的LoG算子检测图像的边缘 3、用Canny算子检测图像的边缘 4、图像的阈值分割 5、用水线阈值法分割图像 6、对矩阵进行四叉树分解 7、将图像分为文字和非文字的两个类别 8、形态学梯度检测二值图像的边缘 9、形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象(Matlab a variety of image edge detection method 1, using Prewitt operator edge detection image 2, with different values of σ LoG operator edge detection image 3, the detection operator Canny edge image 4, image segmentation threshold 5, water line image segmentation threshold 6, on the matrix quadtree decomposition of 7, the image is divided into text and non-text for these two types of 8, detection of morphological gradient of the edge binary image 9, morphological examples- from the PCB images to remove all current lines, retaining only the target chip)

数值计算方法实例 图像处理 文件包 数值计算方法实例 图像处理 文件包(MAtlab image opertion)

线性约束最小方差波束形成 （仿真中在两个期望方向上形成波束指向，在两个干扰方向上形成零陷）(LCMV，linearly cinstrainted minimum variance)

波形产生器,产生方波，正弦波，双曲正割，三角波。高斯，超高斯，亚高斯等等(wave productor)

通过对卡尔曼滤波器的介绍，使用matlab编程，实现卡尔曼滤波(Through the introduction of the Kalman filter using matlab programming, Kalman filtering)

pdf生成图片..................................(create image from pdf pages)

RF法（JC法）计算工程结构可靠度的简单算例 包含1.例题文件，2.RF法计算，3.Matab自带函数抽样，4.自编函数抽样(RF Method and Monte Carlo Method for Solving Reliability Index of Structures)

Carrier-phase synchronization can be approached in a general manner by estimating the multiplicative distortion (MD) to which a baseband received signal in an RF or coherent optical transmission system is subjected. This paper presents a unified modeling and estimation of the MD in finite-alphabet digital communication systems. A simple form of MD is the camer phase exp GO) which has to be estimated and compensated for in a coherent receiver. A more general case with fading must, however, allow for amplitude as well as phase variations of the MD. We assume a state-variable model for the MD and generally obtain a nonlinear estimation problem with additional randomly-varying system parameters such as received signal power, frequency offset, and Doppler spread. An extended Kalman filter is then applied as a near-optimal solution to the adaptive MD and channel parameter estimation problem. Examples are given to show the use and some advantages of this scheme.

Simulation of a Piezoelectric actuator in Matlab Simulink