本资源是本人花重金买的《ModellingtheWirelessPropagationChannelAsimulationapproachwithMATLAB》这本书的源代码。
可以下载保留，相信对你有用的。

Thebasicpropagationpropertiesofthesilicaandsiliconsubwavelength-diameterhollowwirewaveguideshavebeeninvestigatedbycomparison.Itshowsthatthesilicaandsiliconsubwavelength-diameterhollowwirewaveguideshavesomeinterestingproperties,suchasenhancedevanescentfieldinthecladding,enhancedintensityinthehollowcore,andlargewaveguidedispersion.Forthedifferentconfinementability,theenhancedfieldinthehollowcoreandcladdingofthesilicasubwavelength-

完整英文版ISO/IECGUIDE98-3-SP1：2008Guidetotheexpressionofuncertaintyinmeasurement(GUM:1995)-PropagationofdistributionsusingaMonteCarlomethod，本指南-补充1提供了一种符合《测量不确定度表达指南》(GUM)广泛原则的通用数字方法，用于进行测量不确定度评估所需的计算。

RadiowavepropagationlossprevisionusingoneofthetwoCOST231models.zip

Propagationoflaserpulsesinphotoniccrystalfibersusingthesplit-stepFouriermethod使用分布傅里叶发模拟光子晶体光纤中的脉冲传播。
包含windows下直接运行的exe程序和Python源代码

ContentsPrefacexiiiLimitsofLiabilityandDisclaimerofWarrantyofSoftwarexv1TheWirelessChannel:PropagationandFading11.1Large-ScaleFading41.1.1GeneralPathLossModel41.1.2Okumura/HataModel81.1.3IEEE802.16dModel101.2Small-ScaleFading151.2.1ParametersforSmall-ScaleFading151.2.2Time-Dispersivevs.Frequency-DispersiveFading161.2.3StatisticalCharacterizationandGenerationofFadingChannel192SISOChannelModels252.1IndoorChannelModels252.1.1GeneralIndoorChannelModels262.1.2IEEE802.11ChannelModel282.1.3Saleh-Valenzuela(S-V)ChannelModel302.1.4UWBChannelModel352.2OutdoorChannelModels402.2.1FWGNModel412.2.2JakesModel502.2.3Ray-BasedChannelModel542.2.4Frequency-SelectiveFadingChannelModel612.2.5SUIChannelModel653MIMOChannelModels713.1StatisticalMIMOModel713.1.1SpatialCorrelation733.1.2PASModel763.2I-METRAMIMOChannelModel843.2.1StatisticalModelofCorrelatedMIMOFadingChannel843.2.2GenerationofCorrelatedMIMOChannelCoefficients883.2.3I-METRAMIMOChannelModel903.2.43GPPMIMOChannelModel943.3SC妹妹IMOChannelModel973.3.1SCMLink-LevelChannelParameters983.3.2SCMLink-LevelChannelModeling1023.3.3SpatialCorrelationofRay-BasedChannelModel1054IntroductiontoOFDM1114.1Single-Carriervs.Multi-CarrierTransmission1114.1.1Single-CarrierTransmission1114.1.2Multi-CarrierTransmission1154.1.3Single-Carriervs.Multi-CarrierTransmission1204.2BasicPrincipleofOFDM1214.2.1OFD妹妹odulationandDemodulation1214.2.2OFDMGuardInterval1264.2.3OFDMGuardBand1324.2.4BERofOFDMScheme1364.2.5Water-FillingAlgorithmforFrequency-DomainLinkAdaptation1394.3CodedOFDM1424.4OFDMA:MultipleAccessExtensionsofOFDM1434.4.1ResourceAllocation–SubchannelAllocationTypes1454.4.2ResourceAllocation–Subchannelization1464.5Duplexing1505SynchronizationforOFDM1535.1Ef

ChangesforthethirdeditionThebiggestchangeforthisneweditionistheadditionofChapters20–23onnonparametricmodeling.OthermajorchangesincludeweaklyinformativepriorsinChapters2,5,andelsewhere;boundary-avoidingpriorsinChapter13;anupdateddiscussionofcross-validationandpredictiveinformationcriteriainthenewChapter7;improvedconvergencemonitoringandeffectivesamplesizecalculationsforiterativesimulationinChapter11;presentationsofHamiltonianMonteCarlo,variationalBayes,andexpectationpropagationinChapters12and13;andnewandrevisedcodeinAppendixC.Wehavemadeotherchangesthroughout.

2018美赛A题O奖论文

Mateda2.0一个极度好用的分布估计算法matlab工具箱，ForapreliminaryexplanationofMateda2.0seethefileMateda2.0-UserGuide.pdfinthisdirectory.Generaldocumentationabouttheprogramsisavailableinthe/docdirectoryorfrom:http://www.sc.ehu.es/ccwbayes/members/rsantana/software/matlab/MATEDA.htmlMATEDA-2.0employstheMatlabBayesNet(BNT)toolbox(Murphy:2001)andtheBNTstructurelearningpackage(Leray_and_Francois:2004).Theseprograms,whicharefreelyavailablefromtheauthorswebsite(theycanberespectivelydownloadedfromhttp://people.cs.ubc.ca/~murphyk/Software/BNT/bnt.htmlandhttp://banquiseasi.insa-rouen.fr/projects/bnt-slp/),shouldbeinstalledpreviouslytotheMATEDA-2.0installation.SomeoftheMATEDA-2.0routinesalsoemploystheMATLABstatisticaltoolboxandtheaffinitypropagationclusteringalgorithm(Frey_and_Dueck:2007)(theMatlabimplementationofaffinitypropagationisavailablefromhttp://www.psi.toronto.edu/affinitypropagation/).AfterinstallingtheBNTandBNTstructurelearningtools:1)SetthepathtothecurrentBNTstructurelearningtooldirectory.Thisisdonebymodifyingfileadd_SLP.m.2)UnpackthefileIntEDA.zipandcopythefilestoadirectorynamedMATEDA.3)EditfileInitEnvironment.mupdatingthepathspath_MATEDA,path_FullBNTandpath_BNT_SLP.4)SetthecurrentMatlabdirectorytotheMATEDAdirectory.5)ExecuteprogramInitEnvironments.m.Severalwarningsbutnoerrorshouldappear.ThefolderScriptsMatedacontainsseveralexamplesofEDAsimplementations.ThefileMateda2.0-UserGuide.pdfcontainsadetailedexplanationofhowtousetheprograms.Thislibraryisdistributedinthehopethatitwillbeuseful,butWITHOUTANYWARRANTY;withouteventheimpliedwarrantyofMERCHANTABILITYorFITNESSFORAPARTICULARPURPOSE.Lastversion2/04/2009.RobertoSantana(roberto.santana@ehu.es)

PropagationCurvesforAeronauticalMobileandRadionavigationServicesusingtheVHF,UHFandSHFbands

在日常工作中，钉钉打卡成了我生活中不可或缺的一部分。然而，有时候这个看似简单的任务却给我带来了不少烦恼。 每天早晚，我总是得牢记打开钉钉应用，点击"工作台"，再找到"考勤打卡"进行签到。有时候因为工作忙碌，会忘记打卡，导致考勤异常，影响当月的工作评价。而且，由于我使用的是苹果手机，有时候系统更新后，钉钉的某些功能会出现异常，使得打卡变得更加麻烦。 另外，我的家人使用的是安卓手机，他们也经常抱怨钉钉打卡的繁琐。尤其是对于那些不太熟悉手机操作的长辈来说，每次打卡都是一次挑战。他们总是担心自己会操作失误，导致打卡失败。 为了解决这些烦恼，我开始思考是否可以通过编写一个全自动化脚本来实现钉钉打卡。经过一段时间的摸索和学习，我终于成功编写出了一个适用于苹果和安卓系统的钉钉打卡脚本。