ZSep

Impact of Dispersed Generation in the Power System Performance

图像小波去噪程序，帮助处理模糊的图像文件，出去噪声，提高分辨率。(Wavelet denoising procedure to help deal with the blurred image files, out of the noise and improve resolution.)

精通MATLAB与C和C++混合程序设计第一章(Proficient in MATLAB and C and C++ hybrid program)

本程序先生成一个“Blocks”信号，然后加上高斯白噪声，再用 db3 小波进行分解，(The Mr. Cheng Xu as a " Blocks" signal, and then add white Gaussian noise, and then ' db3' wavelet decomposed)

说明：  针对调幅信号求包络波的问题，给出求调幅信号的包络程序(Demand for AM signal envelope wave problem, given the program seek AM signal envelope)

mandelbrot 分型图的仿真与绘制。mandelbrot.m, mandelbrotdemo1.m, mandelbrotdemograph.fig(Mandelbrot type of simulation and rendering Fig. mandelbrot.m, mandelbrotdemo1.m, mandelbrotdemograph.fig)

超声图像实时消噪实验程序，还没有完成，或许有很大帮助(Real-time ultrasound image denoising experimental procedure, has not yet been completed, then it might be very helpful)

说明：  人脸识别，用于人脸图片的检测领域，对于初学则有一定意义，作者来自麦吉尔大学(Face Recognition for Human Face Detection picture field, the beginner will have a certain sense, the writer from McGill University)

平面框架结构MATLAB源程序，可以计算任意平面框架结构。(MATLAB source of Plane frame structure that you can calculate any plane frame structure.)

本文论述并设计实现了一个脱机自由手写体数字识别系统。文中首先对待识别数字的预处理进行了介绍，包括二值化、平滑滤波、规范化、细化等图像处理方法；其次，探讨了如何提取数字字符的结构特征和笔划特征，并详细地描述了知识库的构造方法；最后采用了以知识库为基础的模板匹配识别方法,并以MATLAB作为编程工具实现了具有友好的图形用户界面的自由手写体数字识别系统。实验结果表明，本方法具有较高的识别率，并具有较好的抗噪性能。(In this paper, and design implementation of a freely Offline handwritten numeral recognition system. First, identify the figure of the pre-processing treatment were introduced, including binarization, smoothing filtering, standardization, refinement, such as image processing method Secondly, to explore how to extract the structural features of characters and stroke characteristics, and described in detail Knowledge of the construction method Finally the use of a Knowledge-based template matching to identify methods and MATLAB as a programming tool to achieve with a friendly graphical user interface of freely handwritten numeral recognition system. The experimental results show that this method has higher recognition rate, and has better anti-noise performance.)