kqlpnxu

显示当前系统运行的进程，并能够查看进程中所加载的模块(show the system process and modules)

数控振荡器：可根据输入相差改变频率控制字，产生一组正交的正弦波,SIMULINK 模型(DCO/NCO)

注册表修改快速入门 快速熟悉了解掌握注册表(Registry to modify the Quick Start)

一种LDPC码的不同译码算法,归一化最小和 和积算法 对数域和积算法 (a different decoding algorithms on LDPC)

这是一个SDK程序。本程序跟踪显示鼠标的坐标位置，同时，若有鼠标操作，可在窗口标题栏中显示操作信息，要是在窗口客户区中进行双击，就会在双击位置点上显示位置信息。 (This is an SDK program. This procedure tracking shows the coordinates of the mouse position, and if the mouse can be displayed in the window s title bar operating information, if the customer area of the window to double-click, double-click the location of points will be shown on location information.)

计算mie散射过程中的散射幅度函数,对研究粒子散射问题有较大帮助,(In the process of calculating mie scattering scattering amplitude function, have a great help to the study of particle scattering problem,)

C#生成二维码、调用摄像头扫描二维码，可直接拿来测试

多线程操作 [实例截图] [核心代码]using System;using System.Collections.Generic;using System.ComponentModel;using System.Data;using System.Drawing;using System.Linq;using System.Text;using System.Windows.Forms;using System.Threading;namespace ThreadMore{ public partial class Form3 : Form { public Form3() { InitializeComponent(); } // 发送数据包的类 public class SendPackage { Package pack; // 保存将被发送的数据包 int quantity = 1; // 数据包的个数 // 发送数据包 public SendPackage(Package p, int count) { pack = p; quantity = count; } public void ThreadRun() { // 发送指定数量的数据包 for (int looper = 1; looper

任务栏是否自动隐藏源码程序，结合易语言第三方常量支持库，调用API函数判断任务栏是否自动隐藏。(Are the taskbar to automatically hide the source program , combined with the constant support of third-party libraries easy language , API function to determine whether to call the taskbar to automatically hide .)

仁脸识别是机器视觉和模式识别领域最富有挑战性的课题之一，同时也具有较为广泛的应用意义。人脸识别技术是一个非常活跃的研究领域，它覆盖了数字图像处理、模式识别、计算机视觉、神经网络、心理学、生理学、数学等诸多学科的内容(Ren-face recognition is the field of machine vision and pattern recognition, one of the most challenging issues, but also a wide range of applications has more significance. Face recognition technology is a very active research field, which covers the digital image processing, pattern recognition, computer vision, neural networks, psychology, physiology, mathematics and many other disciplines content)