neural-network_based-face-detection

基于锁相环Top-down的建模方法在MATLAB环境下建立数字锁相环完整的仿真模型，并用SIMULINK对数字锁相环的仿真模型进行仿真。　(Top-down phase-locked loop based on the modeling method in MATLAB environment DPLL set up a complete simulation model, and use of digital phase-locked loop SIMULINK simulation model simulation.)

该系统使用极其简便，即使 你对各种网络模型不是很深刻的了解，也可以很好的使用该系统。使用时， 你可以自己修改网络的各种参数，交互性较好，而且该系统通过大量的图示 及参数设置，可以让你了解每个应用实例实现的过程及详细步骤。(The system is extremely easy to use, even if you have to various network model is not very profound understanding can be a good use of the system. When used, you can change the network's own parameters, interactive better, but the system through a lot of icon and parameter settings, so you can understand each application process and the realization of detailed steps.)

自适应，arma ，gm ，都是根据论文写得，结果和论文一样，仅供参考。(Adaptive, arma, gm, are based on written papers, and papers as a result, are for reference only.)

Simple visual basic calculator with installer

opencv里面像matlab那样显示直方图，解决了opencv没有显示直方图的缺陷。(opencv as it shows as histogram matlab to solve opencv histogram did not show defects.)

这个m-文件允许你导出所有在命令窗口中的文本到字符串单元阵列，每个条目是一个从窗口文本行。未分析的原始字符串也可以，如果需要的话。 操作非常简单 -使用findjobj功能（操作要求），此文件查找在根窗口，并得到适当的对象从文本。 我一直在寻找一种方式做，特别是一些软件中的错误我始终跟踪这，似乎已经没有人写了这种方法，所以我现在在这里供您使用。 这是一个有点慢，有可能是一个特定类寻找更快的方法- 如果这样，让我知道！(This m-file allows you to export all text in the Command Window to a cell array of strings, each entry being a line of text from the window. The unparsed raw string is also available, if desired. Operation is very simple- using the findjobj function (required for operation), this file looks for the appropriate object in the root window and gets text from it. I was looking for a way to do this, particularly for error tracking in some software I maintain, and nobody seemed to have written up this method, so I present it here for you to use. It s a bit slow, there is probably a quicker way of looking for a specific class- if so, let me know!)

Compare Letters in the character recognition system

Its a beautiful book explaining the java itext library with suitable examples and many other help topics

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.)

说明：  该程序的主要功能是用于产生LFＭ线性调频信号(The program' s main function is used to generate LFM chirp signal)