weinakaerman

matlab模拟杨氏双缝干涉，动态模拟，形象生动(matlab simulation of Youngs double slit)

人工神经网络基于matlab开发的线性神经网络的例子开发过程(Artificial neural networks are based on the development of linear neural network matlab examples of the development process)

security in cloud based applications papers

讲解强化学习之3，通过强化学习之3的实例，更加理解强化学习的原理(To explain the 3 of intensive learning and to understand the principle of intensive learning by strengthening the 3 examples of learning)

4dbpsk系统的设计实现源码，几个朋友用一个假期的时间协作完成，功能非常好(The 4dbpsk system design realization source code, several friends complete it cooperation in one vacation time , the function is extremely good)

QR码作为一种可高速、全方位识别的二维条码,已经在各行各业中得到了应用,并具有很大发展潜力.本文针对QR码图像的识别过程中可能遇到的图像噪声干扰、QR码占实际拍摄图像的一部分、倾斜、几何失真等问题进行了研究,提出了通过改进型中值滤波去除噪声,使用QR码符号特性定位并对倾斜图像进行旋转,对失真不严重的图像采用控制点变换和双线性插值方法进行几何校正.实验证明, 本文的方法简单有效, 可以用于提高条码的正确识别率.(As a high-speed, full identification of the two-dimensional bar code, QR code has been applied in all walks of life, and also has great potential for development. In this paper, aiming at QR code image recognition process may be encountered in noise interference, QR code accounting for the actual captured image just a part, slant, geometric distortion, and other issues have been studied, put forward through improved median filter to remove noise, use QR code symbol characteristics to locate and rotate the tilted image, distortion which is not serious use control-point transform and spatial bilinear interpolation method for geometric correction. The results show that this method is simple and effective, can be used to improve the QR code correct recognition rate.)

morphological operation in matlab

本书的优势一是从使用者出发，二是以matlab的symbolic工具箱为主，兼顾其数值计算对matlab加以介绍(One advantage of the book starting from the user, or by the symbolic toolbox matlab-based, taking into account the numerical calculation to be introduced on matlab)

描述了13阶巴克码信号的特性，画出了图形，并做了脉冲压缩处理，比较了用一般旁瓣抑制滤波器与等副瓣法设计旁瓣抑制滤波器进行旁瓣抑制的差别，给出了图示。(Describe the 13 order Barker code signal characteristics, draw the graphics, and the pulse compression processing, compared with the general sidelobe suppression filter with side flap design of sidelobe suppression filter for sidelobe suppression of difference, gives some graphic.)

HERE ITS A CODE FOR CONNECTED COMPONENT OF ANY IMAGE IN MATLAB