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隨機多址通信系統(tǒng)理論及仿真研究
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本書介紹了隨機多址通信系統(tǒng)廣泛應(yīng)用于物聯(lián)網(wǎng)、無線傳感器網(wǎng)絡(luò)、移動互聯(lián)網(wǎng)絡(luò)、無線局域網(wǎng)、蜂窩通信網(wǎng)絡(luò)等通信技術(shù)的情況;對各類隨機多址通信系統(tǒng)進行了建模分析,獲得了一系列的解析結(jié)果;介紹了各類系統(tǒng)的計算機仿真方法,給出了相關(guān)仿真結(jié)果。本書分為10章:第1章簡要介紹后續(xù)部分將要進行仿真的十九個協(xié)議,以及協(xié)議之間相應(yīng)的區(qū)別,讓讀者對隨機多址協(xié)議有一個整體的認(rèn)識;第2章介紹本書仿真所使用的仿真軟件Matlab及仿真的具體流程;第3章詳細(xì)介紹ALOHA協(xié)議,以及其基于Matlab平臺的仿真具體方法;第4到第8章分別介紹非堅持CSMA協(xié)議、1-堅持CSMA協(xié)議、P-堅持CSMA協(xié)議、P-檢測CSMA協(xié)議、二維概率CSMA協(xié)議和在其各自協(xié)議的基礎(chǔ)上改進得來的兩個協(xié)議,以及協(xié)議基于Matlab平臺的具體仿真方法;第9章詳細(xì)介紹二叉樹沖突分解算法,以及其基于Matlab平臺的仿真具體方法;第10章對本書所涉及到的具體協(xié)議進行比較,并做了一個簡要的總結(jié)。本書可作為通信類專業(yè)的本科生和研究生的教材或參考書,也適合從事通信工程領(lǐng)域相關(guān)研究人員閱讀。

丁洪偉 柳虔林 趙一帆 周圣杰 楊志軍 ·電子通信 ·3.9萬字

TensorFlow Machine Learning Cookbook
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Exploremachinelearningconceptsusingthelatestnumericalcomputinglibrary—TensorFlow—withthehelpofthiscomprehensivecookbookAboutThisBook?YourquickguidetoimplementingTensorFlowinyourday-to-daymachinelearningactivities?Learnadvancedtechniquesthatbringmoreaccuracyandspeedtomachinelearning?UpgradeyourknowledgetothesecondgenerationofmachinelearningwiththisguideonTensorFlowWhoThisBookIsForThisbookisidealfordatascientistswhoarefamiliarwithC++orPythonandperformmachinelearningactivitiesonaday-to-daybasis.Intermediateandadvancedmachinelearningimplementerswhoneedaquickguidetheycaneasilynavigatewillfindituseful.WhatYouWillLearn?BecomefamiliarwiththebasicsoftheTensorFlowmachinelearninglibrary?GettoknowLinearRegressiontechniqueswithTensorFlow?LearnSVMswithhands-onrecipes?Implementneuralnetworksandimprovepredictions?ApplyNLPandsentimentanalysistoyourdata?MasterCNNandRNNthroughpracticalrecipes?TakeTensorFlowintoproductionInDetailTensorFlowisanopensourcesoftwarelibraryforMachineIntelligence.TheindependentrecipesinthisbookwillteachyouhowtouseTensorFlowforcomplexdatacomputationsandwillletyoudigdeeperandgainmoreinsightsintoyourdatathaneverbefore.You’llworkthroughrecipesontrainingmodels,modelevaluation,sentimentanalysis,regressionanalysis,clusteringanalysis,artificialneuralnetworks,anddeeplearning–eachusingGoogle’smachinelearninglibraryTensorFlow.ThisguidestartswiththefundamentalsoftheTensorFlowlibrarywhichincludesvariables,matrices,andvariousdatasources.Movingahead,youwillgethands-onexperiencewithLinearRegressiontechniqueswithTensorFlow.Thenextchapterscoverimportanthigh-levelconceptssuchasneuralnetworks,CNN,RNN,andNLP.OnceyouarefamiliarandcomfortablewiththeTensorFlowecosystem,thelastchapterwillshowyouhowtotakeittoproduction.StyleandapproachThisbooktakesarecipe-basedapproachwhereeverytopicisexplicatedwiththehelpofareal-worldexample.

Nick McClure ·電子通信 ·7.7萬字

Machine Learning with R
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Solvereal-worlddataproblemswithRandmachinelearningKeyFeatures*Thirdeditionofthebestselling,widelyacclaimedRmachinelearningbook,updatedandimprovedforR3.6andbeyond*HarnessthepowerofRtobuildflexible,effective,andtransparentmachinelearningmodels*Learnquicklywithaclear,hands-onguidebyexperiencedmachinelearningteacherandpractitioner,BrettLantzBookDescriptionMachinelearning,atitscore,isconcernedwithtransformingdataintoactionableknowledge.Roffersapowerfulsetofmachinelearningmethodstoquicklyandeasilygaininsightfromyourdata.MachineLearningwithR,ThirdEditionprovidesahands-on,readableguidetoapplyingmachinelearningtoreal-worldproblems.WhetheryouareanexperiencedRuserornewtothelanguage,BrettLantzteachesyoueverythingyouneedtouncoverkeyinsights,makenewpredictions,andvisualizeyourfindings.Thisnew3rdeditionupdatestheclassicRdatasciencebooktoR3.6withnewerandbetterlibraries,adviceonethicalandbiasissuesinmachinelearning,andanintroductiontodeeplearning.Findpowerfulnewinsightsinyourdata;discovermachinelearningwithR.Whatyouwilllearn*Discovertheoriginsofmachinelearningandhowexactlyacomputerlearnsbyexample*PrepareyourdataformachinelearningworkwiththeRprogramminglanguage*ClassifyimportantoutcomesusingnearestneighborandBayesianmethods*Predictfutureeventsusingdecisiontrees,rules,andsupportvectormachines*Forecastnumericdataandestimatefinancialvaluesusingregressionmethods*Modelcomplexprocesseswithartificialneuralnetworks—thebasisofdeeplearning*Avoidbiasinmachinelearningmodels*Evaluateyourmodelsandimprovetheirperformance*ConnectRtoSQLdatabasesandemergingbigdatatechnologiessuchasSpark,H2O,andTensorFlowWhothisbookisforDatascientists,students,andotherpractitionerswhowantaclear,accessibleguidetomachinelearningwithR.

Brett Lantz ·自動化 ·12.1萬字

Windows Server 2019 Automation with PowerShell Cookbook
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AutomateWindowsservertaskswiththepowerfulfeaturesofthePowerShellLanguageKeyFeatures*LeveragePowerShelltoautomatecomplexWindowsservertasks*MasternewfeaturessuchasDevOps,andcontainers,andspeeduptheirperformanceusingPowerShell*ImprovePowerShell'susability,andcontrolandmanageWindows-basedenvironmentsbyworkingthroughexcitingrecipesBookDescriptionWindowsServer2019representsthelatestversionofMicrosoft’sflagshipserveroperatingsystem.ItalsocomeswithPowerShellVersion5.1andhasanumberofadditionalfeaturesthatITprosfinduseful.ThebookhelpsthereaderlearnhowtousePowerShellandmanagecoreroles,features,andservicesofWindowsServer2019.YouwillbeginwithcreatingaPowerShellAdministrativeEnvironmentthathasupdatedversionsofPowerShellandtheWindowsManagementFramework,updatedversionsofthe.NETFramework,andthird-partymodules.Next,youwilllearntousePowerShelltosetupandconfigureWindowsServer2019networkingandalsomanagingobjectsintheADenvironment.Youwillalsolearntosetupahosttoutilizecontainersandhowtodeploycontainers.YouwillalsobeimplementingdifferentmechanismsforachievingdesiredstateconfigurationalongwithgettingwellversedwithAzureinfrastructureandhowtosetupVirtualMachines,websites,andsharedfilesonAzure.Finally,youwillbeusingsomepowerfultoolsyoucanusetodiagnoseandresolveissueswithWindowsServer2019.Bytheendofthebook,youwilllearnalotoftripsandtrickstoautomateyourwindowsenvironmentwithPowerShellWhatyouwilllearn*PerformkeyadmintasksonWindowsServer2019*EmployingbestpracticesforwritingPowerShellscriptsandconfiguringWindowsServer2019*Usethe.NETFrameworktoachieveadministrativescripting*SetupVMs,websites,andsharedfilesonAzure*Reportsystemperformanceusingbuilt-incmdletsandWMItoobtainsinglemeasurements*KnowthetoolsyoucanusetodiagnoseandresolveissueswithWindowsServerWhothisbookisforIfyouareasystemsadministrator,engineer,oranarchitectworkingwithWindowsServer2016interestedinupgradingtoWindowsServer2019andautomatingtaskswithPowerShell,thenthisbookisforyou.AbasicknowledgeofPowerShellisexpected.

Thomas Lee ·自動化 ·9.3萬字

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