function-lagge1

基于windows的任务管理器开发设计 windows task mananger(Based on the windows task manager development and design windows task mananger)

计算机视觉中最重要的研究之一就是运动目标检测，其不但在模式识别方面具有相关的研究，而且在图像理解领域也有非凡的意义。运动目标检测是通过通过图像序列帧图像来提取运动目标，通过运用相关的算法一幅图片被划分为前景点和背景点。运动目标检测算法是后续的运动目标分类、运动目标跟踪和分析提供了基础。本论文讲述了几种常用的视频运动目标检测算法，并就背景差分法进行了重点研究，通过两种方法来对比差分法的特点。其中背景差分法算法的主要流程为：视频获取、视频转化为图片序列、图片灰度化处理、去除噪声、差分图片、对图片进行后续处理。此次课题的完成采用的是比较常见的数学软件matlab，其具有强大的工具箱。对处理图像这块具有很广泛的支持。(Computer vision and video image processing is one of important research in the field of video moving object detection, whether in the domains of pattern recognition and image understanding has special significance. Moving target detection is to extract video moving object in successive frames, the image is divided into foreground and background. Moving target detection algorithm for subsequent movement target classification, target tracking and analysis provides the basis. This paper tells the story of several common video moving object detection algorithm, and to the study on the background difference method, through the two methods to contrast the characteristics of the finite difference method. The background difference method algorithm is the main process is: the video capture, video into image sequence and image grayscale processing, remove noise, difference image, for subsequent processing images. The completion of this subject is the more common mathematical software matlab, whi)

数据驱动的统计学习方法，包括PLS、PCA、ICA等，可方便进行故障诊断研究(Data-driven statistical learning methods, including PLS, PCA, ICA, can do researching on fault diagnosis)

WCDMA的simulation实现，很有用。(WCDMA realize the simulation, very useful.)

说明：  matlab指令使用大全 简约方便全面 实用书籍(matlab )

说明：  ojdojdojdj ndijdijidj bdjbdjbdjb jbjbdjbdjb

this simulation is a way for watermarking and steganography with j-uniward

largrangian method largrangian method largrangian methodlargrangian method

说明：  好不容易找不到的2812芯片在MATLAB环境下仿真的说明文件！ (After 2812 the chip can not be found in the MATLAB simulation environment documentation!)

qpsk modulation in Additive White Gaussian Noise channel simulation