montecarlo

用matlab写的车牌识别 能运行 效果还可以 (Written license plate recognition using matlab can run effects can also be)

说明：  如何对随机生成的矩阵进行QR分解和并利用QR分解解决最小二乘问题.(Use Householder reflector to compute the QR factorization of a randomly generated matrix and then solve the Least-Square problems.)

说明：  曲线标记改变的MATLAB程序。需要的来下载。(Curve marked change in the MATLAB program. Need to download.)

说明：  本章的内容更深入MATLAB可视化功能的内核。编写本章的目的有两个：一，使读者更深入地理解高层绘图指令，从而可绘制出更精细更生动更个性的图形；二，使读者能利用低层图形指令和图形对象属性开发专用绘图函数(This chapter more in-depth visualization of the core MATLAB. The purpose of the preparation of this chapter, there are two: First, make readers more in-depth understanding of high-level graphics commands, which can draw out the finer more vivid and personalized graphics 2, so that readers can use low-level graphics commands and graphics object properties developed special drawing functions)

rest 数据预处理时使用，去除不同时间采集数据的机器误差(resting data process)

说明：  一个高斯积分的例子，可能有点简单，不过还是给大家共享(Example of a Gaussian integral, may be a bit simple, but still to share)

这是一个关于非线性信息处理技术的文档；里面包括logistic映射、lorenz、rossler等混沌经典方程的程序和matlab仿真结果；还包括求分形w-m函数的维数的半方差法忽然R/S方法(This is a non-linear information processing on the document which includes logistic map, lorenz, rossler chaotic classical equations such as the procedures and matlab simulation results also includes wm seeking function of the fractal dimension of a sudden half of variance R/S method)

Image contrast and resolution enhancement

利用matlab循环编程的方法使小球能自动摆动，利用此方法可创建动画仿真。(cycle using Matlab programming method small ball can automatically swing, this method can be used to create animation simulation.)

一种基于红外图像分层处理及动态压缩的 DDE 算法。该算法先将原始14bits 红外图像数据信息中的大动态低频背景和小动态高频细节进行分离提取，并分别对提取的细节层和背景层进行相应的灰度增强和灰度抑制处理，再调整和压缩各图层的动态范围并最终合成 8bits图 像。实验结果表明，该算法能较好地保留并突出原始红外图像中的边缘和细节信息，达到了预期设计的目标。 (put forward a DDE algorithm based on hierarchical processing and dynamic compression of infrared image． At first，this algorithm dissociates the background ( with wide dynamic and low frequency) and the detail ( with narrow dynamic and high frequency) in the data information ( 14 bits) of original infrared image，and pick up them respectively． Then，it enhances the gray of details layer and restrains the gray of background layer，and readjusts and compresses dynamic range of each layer． Finally，it composites output image ( 8 bits) ． The experimental results show that the proposed algorithm can retain detail information and edges in original infrared image and carry the purpose of design． )