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基于FPGA的高精度频率计设计
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JAVA+MySQL学生成绩管理系统
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加速度积分求速度和位移的c语言算法程序
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可见光通信计算室内光强分布
可见光通信计算室内光强分布 matlab 已经调通
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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
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- 积分：1
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ARM.CMSIS.4.5.0.pack
这个是ARM公司的官方的支持包，为方便大家在国内使用下载，现上传上来给大家共享
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基于matlab编写的利用蚁群算法的小车路径优化
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微分方程的平衡点及稳定性分析
对于微分方程平衡点稳定性的分析，有助于对混沌系统微分方程组的平衡点的判断。保山学院学报2010第2期接法需要求出系统的解析解,对于一些简单方程阵为:/(0-2|,p=4,g=4,故P00是系统的可能很容易求出,而对于一些复杂的方程(比如例稳定的平衡点2),我们是借助了数学软件求出的方程的通解;而在点21,0)处,系统的线性近似方程的系数矩直接法不用求方程的解就可以讨论平衡点的稳定性。我们在数学建模的过程中,有些系统不用求解阵为(0-2|,p=4,q=4,故P21,0是系统的方程,只需要研究平衡点的稳定状态所以用直接稳定的平衡点;法分析平衡点的稳定性是非常有用的。在点P处,系统的线性近似方程的系数矩10阵为A302|10=19=2,故P(2,是系统参考文:[冯杰,黄力伟等.数学建模原理与案例M北京科学的不稳定的平衡点;出版社,2007,1[2]张锦炎,冯贝叶.常微分方程几何理论与分支问题M3.结论北京:北京大学出版社,2005,8从上面的分析和例子可以看出,平衡点的稳3]阳明盛. Mathematic基础及数学软件M大连:大连理定性的讨论方法主要有间接法和直接法两种,间工大学出版社,2009Analyze of Differential Equation Balance Point StabilityWang Jingyan; Yang Yanli(Math Dept. Baoshan College, Baoshan, Yunnan, 678000)Abstract: This paper mainly discusses a step and the second-order differential equation balance pointhe stability, which plays the major role to its research of mathematics model stabilityKey words: autonomous system; balance point; stability微分方程的平衡点及稳定性分析旧WANFANG DATA文献链接作者:王景艳,杨艳丽, Wang Jingyan, Yang Yanl作者单位:保山学院,数学系,云南,保山,678000刊名:保山学院学报英文刊名:JOURNAL OF BAOSHAN TEACHERS COLLEGE年,卷(期):2010,29(2)参考文献(3条)1.阳明盛 Mathemat ica基础及数学软件20062.张锦炎;冯贝叶常微分方程几何理论与分支问题20053.冯杰;黄力伟数学建模原理与案例2007本文链接http://d.g.wanfangdata.comcn/periodiCalbsszxb201002014.aspx
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非常好的管理系统美萍商业进销存2010v5(无狗版永久使用,真正标准版).rar
美萍商业进销存管理系统是一款专业的销售管理软件，其中包含商品销售管理系统 ，库存管理系统（仓库管理系统），财务和报表系统等子模块。软件界面设计简洁，美观，其人性化的软件流程，使普通用户不需培训也能很快掌握软件操作使用方法，上手极易。
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仿真伪随机相位编码脉雷达的信号处理
仿真伪随机相位编码脉冲雷达的信号处理。(附录包含完整MATLAB程序)目标模拟分单目标和双目标两种情况。单目标时，给出回波视频表达式，脉压和FFT 后的表达式；MATLAB仿真m序列的双值电平循环自相关函数，给出脉压后和FFT 后的输出图形；通过仿真说明脉压输出和FFT输出的SNR、时宽和带宽；仿真说明脉压时多卜勒敏感现象和多卜勒容限及其性能损失。双目标时，仿真出大目标旁瓣盖掩盖小目标的情况,仿真出距离分辨和速度分辨的情况。
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