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matlab实现的粒子群动态寻路算法
matlab 粒子群 动态寻路matlab 粒子群 动态寻路matlab 粒子群 动态寻路matlab 粒子群 动态寻路matlab 粒子群 动态寻路matlab 粒子群 动态寻路
- 2020-12-02下载
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Two Dimensional Phase Unwrapping Theory Algorithms and Software
Two Dimensional Phase Unwrapping Theory Algorithms and Software，扫描文档，清晰度一般。GTWO-DIMENSIONALPHASE UNWRAPPINGTHEORY ALGORITHMSAND SOFTWAREDennis C. ghigliaSandia National LaboratoriesAlbuquerque, New MexMark D. PrittLockheed Martin CorporationGaithersburg, Maryland藏A WILEY-INTERSCIENCE PUBLICATIONJOHN WILEY SONS, INCNew York Chichester Weinheim Brisbane Singapore / Toronto2005060radar interferogram generated byDeathon each pass, The terrain elevations can be computed from thebut the phase differences must fig problem In regions of steeprrupted where there are radar shadow and "layover"effects. Surfaceoccurred between the two passes, which were 24 days apar alsopThis image was acquired as part of a program for the Terrain Modeling Project Officended byEngineering Center. The SAR data was provided by Radarsat Intenational THinterferogram was generated and provided by Vexcel Corporation, Boulder, Coloradop00This text is printed on acid-free paper.Copyright o 1998 by John Wiley Sons, Inc. All rights reservedNo part of this publicationreproduced, stored in a retrievalsystem or transmitted in any form or by any means, elechanical photocopying, recording, scanning or otherwise,xcept as permitted under Sections 107 or 1O% of the 1976of the Publisher or authorization through payment of theontates Copyright Act, without cither theppropriate per-copy fee to the Copyright Clearance Center, 222750-4744. Requests to the Publisher for permission show(978)ood Drive, Danvers, MA 01923, (978)750-8400, faxnc.. 605 Third A venue. New York, NY 10158-0012(212)850-6011fax(212)850-6008,E-Mail:PERMREQ@WILEY.COMTwo-dimensional phase unwrapping: theory, algorithms, andsoftware/Dennis C Ghiglia and Mark D Pritt.SBN0-471-24935-1(cloth: alk. paper)1. Synthetic aperture radar. 2. Signal processing--Mathematics3. Interferometry. I Pritt. Mark D. [L. Title621.367-dc2l97-3803410987654321;4TWO-DIMENSIONALPHASE UNWRAPPINGFOREWORDTwo-dimensional phase unwrapping is the type of problem that is typically thedomain of the mathematician. It is both complex and abstract However, phaseunwrapping is also the core technology that enables radar interferometryOver the past decade interferometry has changed the way that we use radardata. Radar data are now used for precise measurement of surface topography inclouded regions. Additionally, spaceborne radar systems have proved effectivefor measuring surface changes from earthquakes and volcanic eruptions. Theseapplications have created a new class of radar data users primarily involved inmapping and remote sensing applicationIn Two-Dimensional Phase Unwrapping: Theory, Algorithms, and Softwarethe authors unlock the mystery of phase unwrapping in interferometric datarocessing. This text provides a clear, concise treatment of phase unwrappingthat cannot be found in any other source. It presents for the first time therelationship between theory and application. Its uniform treatment of thevarious phase unwrapping techniques makes it a valuable resource for anyengineer or scientist involved in processing or exploitation of interferometricexpect that radar interferometry will increase in importance over the comingdecade with the development of airborne and spaceborne sensor systemsdesigned to optimally exploit this tcchnology. Two- Dimensionsping: Theory, Algorithms, and Software is an important contribution to ourinderstanding of radar interferometry that will bencfit both research intoadvanced techniques and the design of these future sensor systemsJOHN C. CURLANDEPresident and CEOVexcel CorporationPREFACETwo-dimensional phase unwrapping arises most naturally in, but is notrestricted to, interferometric applications. Measured or calculated phasevalues from two or more mutually coherent multidimensional signals are relatedn a nonlinear manner to a desired physical quantity of interest. The nonlinearityis in the form of"wraps"or cycle discontinuities where an underlying two-dimensional phase is wrapped into the interval (T, r. The wrapped phasemust somehow be unwrapped in order to provide an estimate of the underlyingphysical quantity. Estimation of surface topography from interferometricsynthetic aperture radar(SAR)or extremely accurate profiling of mechanicaparts by optical interferometers are two such examplesOriginally developed for military reconnaissance, SAR is now experiencingnew life in civil applications. In fact civilian and commercial interests are rapidlbecoming the drivers of technology. Clever utilization of the coherent SArimagery in interferometric configurations makes possible the measurement ofsurface topography to accuracies much better than the spatial resolution( 0.3meters to several meters)of the SaR images themselves. Indeed, as is commonplace with interferometers, measurement sensitivities are on the order of theoperating wavelength, which is typically a few centimeters for SAR. Imaginggeometries, noise, and other operational factors degrade performance some-what from centimeter-scale accuracies, but nevertheless SAR interferometrymakes possible global topographic mapping in a timely fashion, in daylight or atnight, in all weather conditions, and with unprecedented accuracyinterferometry also can detect deformations of the earths crust on the orderof millimeters, a capability that shows promise for the timely detection ofearthquakes or volcanic eruptionsThese exciting possibilities have led to an explosive growth in the field of phaseunwrapping as indicated by the increasing number of journal publicationsNewcomers to SAR interferometry and related disciplines will eventuallyonfront the phase unwrapping problem and, undoubtedly, will encounter arather bewildering variety of ideas and algorithms, including those based onneural networks, simulated annealing, cellular automata, genetic algorithms,and other unusual constructs. Which of these are good? Which are not? We doThroughout this book we use the notation(-丌,丌 to represent the interval-丌
- 2020-12-12下载
- 积分：1
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车联网网络架构分析
利用车联网获取车辆运行参数和道路等交通基础设施使用状况，感知实时道路交通路况，能有效减少交通拥堵，实现绿色出行，并提供丰富的智能交通信息服务．车联网将促进汽车、交通和信息技术产业向更加现代化、网络化和智能化的方向发展．对车联网的现状进行了较为全面的研究，包括车联网的概念、技术优势、信息服务以及网络架构等．
- 2020-12-02下载
- 积分：1
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基于巴克码的雷达信号仿真与实现
雷达因可以检测目标的距离、速度和角度的性能在现代社会中得到了广泛的应用，不仅是军事方面，在现实生活中也可以见到各种雷达的应用，而现代雷达对于测距精度有很高的要求，而测距精度与信号脉宽是一对不可以调和的矛盾，所以我们需要根据不同的应用设计不同的脉冲宽度，而相位编码由于其自身的特点，其信号有很好的相关性能，在雷达发射信号中得到了广泛的应用，而其中巴克码是一种很常见的二相编码信号，这次毕业设计的主要内容是尝试通过matlab仿真设计一个基于巴克码发射信号的雷达系统，通过模拟产生对7位和13位巴克码信号的产生，然后根据发射信号的回波信号我们对其进行脉冲压缩，然后比较7位和13位巴克码信号产生的脉冲压
- 2021-05-07下载
- 积分：1
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【C#】原创仿OpenFileDialog文件选择对话框源码
使用Winform控件从头编写的文件选择对话框，所有样式均可以自行定制。可自行扩展各种自定义功能，无阻碍。
- 2020-12-01下载
- 积分：1
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多功能电表软件系统设计
电能表的软件系统包括程序数据结构模块、程序初始化与电表运行处理模块、事件分配查询管理处理模块及显示处理模块、通讯处理模块、电量处理模块、时间与时段管理处量模块、电表最大需量处理模块八大部分组成，各个部分都有其特殊的任务，在电表系统中完成它们相应的功能。●●●●程序数据结构部分●●●●●●●●●程序数据结构部分程序数据结构模块是对程序中的数据进行分析,合理的分配数据内存,定义程序涉及的变量。它是根据整个程序的算法来制定的,同时一个好的数据结构对整个程序的编写有非常重要的作用,因此根据电能表软件系列实现的功能及其算法制定合理的数据结构。电能表的数据结构包括两个部分:内存数据结构和数据结构与常量结构。●这个是与常量的数据结构,在显小与数据通讯都会使用这个结构●●●●●●●●●程序常量数据结构部分●●●●数据标示项数据标示表示的正反数据存放的格式数据值的长度数据在与的偏移量数据显示的符号通过此结构可以把所要显示、通讯的数据在或者在存放的位置长度以极标志等内睿取出供所需要的函数使用●●●●程序数据结构部分●●●●●●●●●合相有功功率合相有功瞬时功率电压有校值合电流有校值当前的线频率合功率因数合相电压与电流的夹角当前的电能此结构可以对的计量参数寄存器一次可以全读出,并同时也可以分别取出对应所需要的参数●●●●●●●●●程序初始化与电表运行处理●●●●程序初始化与电表运行处理●程序初始化与电表运行处理模块是对整个程序进行初始化,并对电表运行的六种状态进行转换。程序初始化包括两个部分:初始化和电表各部件初始化。初始化是对各部件进行初始化,为各部件在程序工作时提供合适的初始状态,它包括配置口工作模式、看门狗初始化、定时器初始化、键盘中断初始化、串口中断初始化、初始化等等。电表各部件初始化是对电能表系统各部件进行配置工作状态,初始化它们的工作方式,为程序工作提供电表部件初始状态,它包括指示灯初始化显示初始化、实时时钟初始化、电量恢复、通讯信道、历史电量处理等等部件的初始化。●●●●口工作模式●●●●●●●●●口工作模式如果有没有用到的口,作输入时要通过电阻与或者与连接,作输出时要输出置与置因为设备输入端未连接将会产生工作枚障,如果输入未连接,则由于噪音等原因可能会产生内部输入电平,从而导致故障。如果在上电时口为输入,但电池供电时口的电平为不确定状态时,也应对口作相应的处理●当主时钟切换到副时钟时,应将主时钟的口设为输出置看门狗初始化●●●●●●●●可选字节设定地址:080H/Ls0HrWINDOW1F工NDOWWDCSWDCS1WDCSLSROSC看门狗的开了NDCW1VINDOMO看门狗定封器窗口打开周期窗时间设定为1C5WDTCN看门狗定时器计数器的操作控制/非法汸问检测琹止计数器操怍复位后停止计数),禁止非法访问检测操作允许计数器橾作;愆位后始计敏),氘许非法访闻枱测橾作看门狗定时器HD,FDCS1HDCEO昋门狗定时器溢出吋间0z°/faL(3.88ms)时间间隔设置n/f!(7.76ms):25/土R(3L.03ms0CTL (62, OG sD0125fsL(124.12mE)fL(496.4LSROSC内部低速振蓠器操作看门狗设为不可由软件停1(出将1写入C寄存器的第0红 SESTOP)时停l操作不能停止(即使将1写入 SRSTOP位也不停止操作)能停止单片机内部的看门狗把设为不能停止时为硬看门狗,必须在窗口打开才能清狗否则单片机会复位,●●●●串口中断初始化●●●●●●●●●●由于多功能表有二个供通讯的口,一个供红外通讯口。但单片机只有二个哪么就需要模拟其中一个的分频时钟信号不能得到此时应选的分分频时钟信号模拟红外通讯,需要个外部中断(接收接收管上的电平信号并每要检测屮断口的信号),二个定时器(输出载波与的时间间隔)串口中断初始化有关UART0的寄存器波特率发生控制寄存器0( BRGCO)真出:F? iH Aher reset: 1Fh民WEymarBRGCOTPE01TP90O0 MDLO4MPLSMDLDe MDLoTBLOm(TPS01,TPS00)=(0,0)选择定时器TM50的输出作为TPSDTP500Base cock (IxeLKol selection"fPRs=2 MHz fFRE-5 MHz fFRs-B MHz1FFG-10MH基本时钟TM50 DutpfEgli1 H25 H4 HT5 MHz250kF2H25 kHz1 MH26H2625kH15625kH2250H3125k因为如果选择外围硬件时钟fprs作为基本时钟,那么就不可能产生出1200bps的波特率。MDLO4MDLOS MDLO2 MDLOT MDLOG k Selectian of 5-titcounterx Selng Erchbiled0acLM/B0(MDLO4, MDL03, MDLO2MDL01,ML00)=(0,1,1,0,1),k=13028 fruTa2a scLk/?31t/3
- 2020-11-30下载
- 积分：1
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C语言大作业 菜单驱动的学生成绩管理系统
内含源码（有详细注释） 以及 最后的实验报告成品程序说明： 编写的是一个菜单驱动的学生成绩管理系统。 •能输入并显示n个学生的m门考试科目的成绩，总分和平均分。 •能按总分高低进行排序 •任意输入一个学号，能显示学生的姓名，各门功课的成绩 •在使用过程中，用户如有计算特定成绩的需要，程序中附有简易计算器可以使用
- 2020-12-01下载
- 积分：1
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java web学生宿舍后台管理系统.7z
【实例简介】用myeclipse+mysql+tomcat实现。具有学生管理、管理员管理、楼层管理、缺勤记录等功能，前端用bootstrap框架实现，界面布局优美，适合做课程设计、毕业设计。
- 2021-12-02 00:43:33下载
- 积分：1
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Opus音频测试
Opus音频测试http://blog.csdn.net/bedpotato/article/details/20144171
- 2020-11-28下载
- 积分：1
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汽车销售管理系统UML建模分析
(1)根据网络上的资料查询，详细了解了汽车销售的现状、工作环境、开发软件的目的以及该系统所应达到的效果，并使用Microsoft Visio工具对系统进行建模，把系统分成几大模块进行开发，保证了系统开发的效率。 (2)根据模块化的构思，对该系统进行总体设计，包括系统的框架设计、结构设计、组件设计等并分配模块中的功能和所应达到的效果。
- 2020-11-30下载
- 积分：1
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