input_parser

文件加密器，使用简单，短小精悍，十分高效，仅供交流(File encryption device, easy to write, short and concise, high reliability algorithm.)

软件自动升级，支持所有程序,需要网络空间存放升级信息，支持http,ftp等。-Automatic software upgrades, support for all procedures, the need for network storage space upgrade information, support http, ftp, etc..

创建原始套接字，构造ICMP协议ECHO数据头，发送数据sendto 接收数据recvfrom，分析返回IP数据头及ICMP数据头 程序代码极其简单，适合初学网络编程者参考- Founds the primitive sleeve joint character, structure ICMP the agreement ECHO data head, transmits data sendto receive data recvfrom, the analysis returns to the IP data and the ICMP data procedure code is extremely simple, suitablly begins studies the network programming reference

28335例程，自己仔细的研究了一阵子，觉得不错，可参考。(28335 routines, good for reference)

一个windows显示驱动的好程序，对学习驱动开发很有好处(a windows driver of the program is to study the development of a very good driver)

针对高动态 环 境 下 突 发 信 号 检 测 问 题，提 出 基 于 高 阶 项 逐 级 消 去 的 非 线 性 调 频 （ｎｏｎ－ｌｉｎｅａｒ　ｆｒｅｑｕｅｎｃｙ ｍｏｄｕｌａｔｉｏｎ，ＮＬＦＭ）信号参数估计算法，利用合理近似，将其转化为相对简单的线性调频 （ｌｉｎｅａｒ　ｆｒｅｑｕｅｎｃｙ　ｍｏｄｕ－ ｌａｔｉｏｎ，ＬＦＭ）信号参数估计问题，并提出两级调频率逼近法用于ＬＦＭ 信号参数估计，具有原理简明、计算复杂度低 等特点，便于实际工程应用．(To detect burst signals in high dynamic environment, a non-linear frequency modulation (NLFM) based on high-order item elimination is proposed. Modulation (NLFM) signal parameter estimation algorithm, using reasonable approximation, is transformed into a relatively simple linear frequency modulation- The problem of LFM signal parameter estimation is discussed. A two-stage frequency modulation approximation method is proposed for LFM signal parameter estimation. It has simple principle and low computational complexity.)

使用OLE DB操作数据库的方法，这是C++的源码(OLE DB operation method of the database, which is C++ source)

LabVIEW编写的字模显示工具，可以直观地表示汉字。(Written in LabVIEW font display tools, you can visually express Chinese characters.)

Digital image face detection had been developing so much in this last decade. The searching for the best method is still walking until today. This face detection research is using color model based segmentation method combined with template matching. There are 4 main process in this research. First, motion detection is used to minimize the size of the image by subtracting image n with image n+m. Then, by using YCbCr color model based segmentation, the image is separated by skin color area and non-skin color area. Third, is to reduce the noise by using the blurring way and by filtering its wide. The last one is matching the area that last with template that has been prepared to detect which area is face. The result of the research, from 217 images and 10 videos , shows that this method reach up to 70,5 face detection accuration procentage.

说明：  河北理工大学2005年毕业设计 在线网络商店 全部源代码(Hebei Polytechnic University in 2005 graduated from network design online stores all source code)