fuzzy_pid

说明：  本文正是在研究WIMAX/802.16e协议和FMIPv6协议的基础之 上，提出了基于FMIPv6的WIMAX网络快速切换机制，该方案采用跨 层切换的思想，MAC层联合网络层同时进行切换，在链路尚未断开 之前即完成新转交地址(NCOA)获取等功能，从而加快了切换进程， 减小了切换时延和切换时的丢包率。在提出本切换机制的基础上，本 文在NSZ仿真平台上对所提出的切换方案做了系统性的性能仿真，通 过仿真结果验证了方案的可行性和优越性。 ( In this paper, IEEE802.16e standard is described at first. Then an introduction for the basic knowledge and research in MIPv6 and FMIPv6 protocol is given. A fast handover scheme of WiMAX network which based on FMIPv6 protocol is suggested, which implements the fast handover at IP layer associating with MAC layer at the same time. scheme minimizes handover latency by predicting and preparing This the impending handover in advance. Finally, simulation are carried out to evaluate the performance of this fast handover scheme. The result of the simulation shows that the fast handover scheme has good performance. )

说明：  给予神经网络的大视场光学系统畸变曲线拟合(Given the large field of neural network optical system distortion curve fitting)

Test of Object Tracking

　　数字信号处理是一门以算法为核心，理论和实践性较强的学科。是电子信息工程、通信工程、电子信息科学与技术专业的一门重要的专业技术基础课。数字信号处理课程是在学习完数字信号处理的相关理论后，进行的综合性训练课程，其目的是： 1、使学生进一步巩固数字信号处理的基本概念、理论、分析方法和实现方法； 2、增强学生应用Matlab语言编写数字信号处理的应用程序及分析、解决实际问题的能力。(Digital signal processing is an algorithm as the core theoretical and practical strong discipline. Electronic and Information Engineering, Communication Engineering, Electronic Information Science and Technology, professional an important professional and technical basic courses. Digital Signal Processing is a comprehensive training course in learning digital signal processing theory, its purpose is: 1 to enable students to further consolidate the basic concepts of digital signal processing, theory, analysis and implementation enhance the students to apply the Matlab language to the application of digital signal processing and analysis, ability to solve practical problems.)

Vertical Deflection Booster I C

sar simulation in rda algorithm

image processing matlab BWFilter

matlab code generation

这是第一版的AsymPDC工具包。用来处理PDC，gPDC和iPDC有关内容。运行环境为Matlab,并且要求至少Matlab中预装了3个工具箱：控制系统，信号处理和统计工具箱。(This is the first public release of AsympPDC package. It deals with the asymptotic statistics for PDC, gPDC and iPDC. AsympPDC runs under Matlab and is a practically self-contained except for requires routines from three Matlab toolboxes: Control System, Signal Processing, and Statistical. It is not extensively tested yet. It was partially tested under Windows, Macintosh and Linux environments with Matlab version 7.0 and higher. Please report any incompatibility to ksameshi[at]usp.br or baccala[at]lcs.poli.usp.br. Additionally for cosmetic purposes, the pdc_xplot routine uses several Matlab users contributed codes: subplot2.m (modified old version of supbplot to control spacing between subplots), shadedplot.m (developed by Dave Van Tol), suplabel.m (for label and title plotting in subplot figures, by Ben Barrowes), suptitle.m (contributed by Drea Thomas, for adding title above all subplots), and tilefigs.m (for tiling figures for simultaneous visualization, by Charles Plum))

单变量控制 PID控制 智能控制 徐丽娜(Single-variable control PID control intelligent control)