Thebookcoversthemostrecentdevelopmentsinmachinelearning,signalanalysis,andtheirapplications.Itcoversthetopicsofmachineintelligencesuchas:deeplearning,softcomputingapproaches,supportvectormachines(SVMs),leastsquareSVMs(LSSVMs)andtheirvariants;andcoversthetopicsofsignalanalysissuchas:biomedicalsignalsincludingelectroencephalogram(EEG),magnetoencephalography(MEG),electrocardiogram(ECG)andelectromyogram(EMG)aswellasothersignalssuchasspeechsignals,communicationsignals,vibrationsignals,image,andvideo.Further,itanalyzesnormalandabnormalcategoriesofreal-worldsignals,forexamplenormalandepilepticEEGsignalsusingnumerousclassificationtechniques.ThebookisenvisionedforresearchersandgraduatestudentsinComputerScienceandEngineering,ElectricalEngineering,AppliedMathematics,andBiomedicalSignalProcessing.

Theacceleratingdeploymentoflarge-scaleweb,cloud,BigData,andvirtualizedcomputingsystemshasintroducedseriousnewchallengesinperformanceoptimization.Untilnow,however,littlereliable,practicalinformationhasbeenavailabletoITprofessionalswhoareresponsibleforrunningthesesystemsefficientlyandcost-effectively.SystemsPerformance:EnterpriseandtheCloudisthesolution.InternationallyrenownedperformanceoptimizationexpertBrendanGreggbringstogetherstate-of-the-arttechniquesandtoolsforanalysisandtuningoflarge-scaleweb/cloudcomputingenvironments.GreggfocusesonLinux/Unix/Solarisperformanceissues,whileofferingprovenmethodologiesanddiscussingkeyissuesthatapplytoallenterpriseoperatingsystems.Coverageincludes:Modernperformanceanalysisandcapacityplanning,includingkeyissuessuchaslatencyanddynamictracingNewperformanceandreliabilitychallengesassociatedwithcloudcomputingMethodology,concepts,terminology,tools,andmetricsKeytradeoffs,includingproblemsofloadvs.architectureTuningoperatingsystems,CPUs,memory,filesystems,disks,networks,andbussesTuningvirtualizedsystemsProgramminglanguageissuesrelatedtoperformance—includingapplicationprofilingforC,C++,Java,andnode.jsBenchmarkingstrategiesandpitfalls,includingcustommicrobenchmarking

英文原版，数字版，非影印版，无水印，有目录，第三版。
HowcanyoubringoutMySQL’sfullpower?WithHighPerformanceMySQL,you’lllearnadvancedtechniquesforeverythingfromdesigningschemas,indexes,andqueriestotuningyourMySQLserver,operatingsystem,andhardwaretotheirfullestpotential.Thisguidealsoteachesyousafeandpracticalwaystoscaleapplicationsthroughreplication,loadbalancing,highavailability,andfailover.UpdatedtoreflectrecentadvancesinMySQLandInnoDBperformance,features,andtools,thisthirdeditionnotonlyoffersspecificexamplesofhowMySQLworks,italsoteachesyouwhythissystemworksasitdoes,withillustrativestoriesandcasestudiesthatdemonstrateMySQL’sprinciplesinaction.Withthisbook,you’lllearnhowtothinkinMySQL.LearntheeffectsofnewfeaturesinMySQL5.5,includingstoredprocedures,partitioneddatabases,triggers,andviewsImplementimprovementsinreplication,highavailability,andclusteringAchievehighperformancewhenrunningMySQLinthecloudOptimizeadvancedqueryingfeatures,suchasfull-textsearchesTakeadvantageofmodernmulti-coreCPUsandsolid-statedisksExplorebackupandrecoverystrategies—includingnewtoolsforhotonlinebackups

LXI（LANeXtensionforinstrumentation）是一种基于局域网的模块化测试平台标准，它融合了GPIB仪器的高性能、VXI、PXI仪器的小体积以及LAN的高吞吐率，并考虑定时、触发、冷却、电磁兼容等仪器要求。
其目的是充分利用当今测试技术的最新成果和PC机标准I/O能力，组建灵活、高效、可靠、模块化的测试平台。
资料包含LXI针对C#开发的驱动库，开发手册，协议介绍等BuildingLXIBasedTestSystemsAug32013.pdfIVIDriverSupport.pdfSimplifyingTestSystemDevelopmentwithIVI.NET.pptSharedComponents.pdfSimplifyingTestSystemDevelopmentwithIVI.NET.pptUpgradingtoWindows7-HowitImpactsyourIVIandVISAInstallations.pdfUsingIVIwithCandVB.pdfUsingIVI.NetDriversCSandVBAug_8_2016.pdfIntroducingLXIToYourNetworkAdministratorAug32013.pdf

设置好文件路径，运行程序，即可以直接提取出ndvi数据。
程序流程为：从modis提取ndvi数据，然后实现影像镶嵌，最后统一转为albers投影。

ZipfilecontainsVerilogfiles(*.v)dct.vtest_dct.vVhdlfile(*.vhd)dct.vhdTheverilogsynthesizedusingSynplicity(SynplifyPro)andplacedandroutedusingFoundation4.1.03i.ThemultiplierinstantiationintheverilogfilesareusedwhentargetingVirtex2.Forallotherdevices,theinstantiationsarecommentedoutandthebehavioralmultipliercodeisused.Test_dctcontainsthetestbenchwhichusestheinputvaluesasgiveninthereference"ImageandVideoCompressionStandards"byV.BhaskaranandK.Konstantinides.Dct-dct.visthetoplevelfilethatcallsthelowerleveldct.vandidct.vfiles.Thelowerlevelvhdlfilesaredct.vhdandidct.vhd

IEEEStd8021Q2011MediaAccessControlMACBridgesandVirtualBridgeLocalAreaNetworks

Aspose.Slidesfor.NETisaMicrosoftPowerPoint®managementAPIthatenables.NETapplicationstoreadandwritePowerPoint®documentswithoutusingMicrosoftPowerPoint®.Aspose.Slidesfor.NETisthefirstandonlycomponentthatprovidesthefunctionalitytomanagePowerPoint®documents.Aspose.Slidesfor.NETprovidesalotofkeyfeaturessuchasmanagingtext,shapes,tables&animations,addingaudioandvideotoslides,previewingslides,exportingslidestoSVG,PDFformatandmore.

5GNR:Architecture,Technology,Implementation,andOperationof3GPPNewRadioStandardsisanin-depth,systematic,technicalreferenceon3GPP'sNewRadiostandards(Release15andbeyond),coveringtheunderlyingtheory,functionaldescriptions,practicalconsiderationsandimplementationofthe5Gnewradioaccesstechnology.Thebookdescribesthedesignandoperationofindividualcomponentsandshowshowtheyareintegratedintotheoverallsystemandoperatefromasystemsperspective.Uniquely,thisbookgivesdetailedinformationonRANprotocollayers,transport,networkarchitectureandservices,aswellaspracticalimplementationanddeploymentissues,makingitsuitableforresearchersandengineerswhoaredesigninganddeveloping5Gsystems.Reflectingontheauthor's30plusyearsofexperienceinsignalprocessing,microelectronicsandwirelesscommunicationsystemdesign,thisbookisidealforprofessionalengineers,researchersandgraduatestudentsworkingandresearchingincellularcommunicationsystemsandprotocolsaswellasmobilebroadbandwirelessstandards.Strongfocusonpracticalconsiderations,implementationanddeploymentissuesTakesatop-downapproachtoexplainsystemoperationandfunctionalinterconnectionCoversallfunctionalcomponents,features,andinterfacesbasedonclearprotocolstructureandblockdiagramsDescribesRFandtransceiverdesignconsiderationsinsub-6GHzandmmWavebandsCoversnetworkslicing,SDN/NFV/MECnetworksandcloudandvirtualizedRANarchitecturesComprehensivecoverageofNRmulti-antennatechniquesandbeamformedoperationAconsistentandintegratedcoveragereflectingtheauthor’sdecadesofexperienceindeveloping3G,4Gand5Gtechnologiesandwritingtwosuccessfulbooksintheseareas

NumericalComputationofINTERNALANDEXTERNALFLOJiJiSVolume2:ComputationalMethodsforInviscidandViscousFlowsCharlesHirschDepartmentofFluidMechanics,VrijeUniversiteitBrussel,Brussels,BelgiumAWiley-lntersciencePublicationJOHNWILEY&SONSChichester.NewYork.Brisbane.Toronto.Singapore

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。