WeaklySupervisedSegmentationwithTensorflow.ImplementsinstancesegmentationasdescribedinSimpleDoesIt:WeaklySupervisedInstanceandSemanticSegmentation,byKhorevaetal.(CVPR2017).

MIMOOFDMSimulator:OFDM.m:OFDMSimulator(outerfunction)create_channel.m:GeneratesaRayleighfadingfrequency-selectivechannel,parametrizedbytheantennaconfiguration,theOFDMconfiguration,andthepower-delayprofile.svd_decompose_channel.m:Sincefullchannelknowledgeisassumed,transmissionisacrossparallelsingularvaluemodes.Thisfunctiondecomposesthechannelintothesemodes.BitLoad.m:Applythebit-loadingalgorithmtoachievethedesiredbitandenergyallocationforthecurrentchannelinstance.ComputeSNR.m:Giventhesubcarriergains,thissimplefunctiongeneratestheSNRvaluesofeachchannel(eachsingularvalueoneachtoneisaseparatechannel).chow_algo.m:ApplyChow'salgorithmtogenerateaparticularbitandenergyallocation.EnergyTableInit.m:GiventheSNRvalues,formatableofenergyincrementsforeachchannel.campello_algo.m:ApplyCampello'salgorithmtoconvergetotheoptimalbitandenergyallocationforthegivenchannelconditions.ResolvetheLastBit.m:Anoptimalbit-loadingofthelastbitrequiresauniqueoptimization.modulate.m:Modulatetherandominputsequenceaccordingtothebitallocationsforeachchannel.ENC2.mat:BPSKModulatorENC4.mat:4-QAMModulator(Graycoded)ENC16.mat:16-QAMModulator(Graycoded)ENC64.mat:64-QAMModulator(Graycoded)ENC256.mat:256-QAMModulator(Graycoded)precode.m:Precodethetransmittedvectorateachtimeinstancebyfilteringthemodulatedvectorwiththeright-inverseofthechannel'srightsingluarmatrix.ifft_cp_tx_blk.m:IFFTblockoftheOFDMsystem.channel.m:ApplythechanneltotheOFDMframe.fft_cp_rx_blk.m:FFTblockoftheOFDMsystem.shape.m:Completethediagonalizationofthechannelbyfilteringthereceivedvectorwiththeleft-inverseofthechannel'sleftsingularmatrix.demodulate.m:Performanearestneighborsearchknowingthetransmitconstellationused.

多项式相乘一元稀疏多项式简单计算器的基本功能是：（1)输入并建立多项式；
（2）输出多项式，输出形式为整数序列：n,c1,e1,c2,e2,...,cn,en,其中n是多项式的项数，ci和ei分别是第i项的系数和指数，序列按指数降序排列。
（3）多项式a与多项式b相乘，建立多项式。
-Sparsepolynomialmultiplicationunarypolynomialbasicfunctionsofthecalculatorissimple:(1)inputandtheestablishmentofpolynomial(2)theoutputpolynomial,theoutputintheformofanintegersequence:n,c1,e1,c2,e2,...,cn,en,wherenisthenumberofitemspolynomial,ciandeiisthefirstientriesarethecoefficientandtheindexsequenceindescendingorderbyindex.(Three)polynomialapolynomialbmultipliedwiththeestablishmentofpolynomials.

xilliixpciedma驱动（基于xilnxxdmaip核4.0的WDF驱动）---#XDMAWindowsDriverThisprojectisXilinx'ssampleWindowsdriverfor'DMA/BridgeSubsystemforPCIExpressv4.0'(XDMA)IP.*Pleasenotethatthisdriverandassociatedsoftwarearesuppliedtogiveabasicgenericreferenceimplementationonly.Customersmayhavespecificuse-casesand/orrequirementsforwhichthisdriverisnotsuitable.*###Dependencies*TargetmachinerunningWindows7orWindows10*DevelopmentmachinerunningWindows7(orlater)*VisualStudio2015(orlater)installedondevelopmentmachine*WindowsDriverKit(WDK)version1703(orlater)installedondevelopmentmachine##DirectoryStructure```/|__build/-Generateddirectorycontainingbuildoutputbinaries.|__exe/-Containssampleclientapplicationsourcecode.||__simple_dma/-SamplecodeforAXI-MMconfiguredXDMAIP.||__streaming_dma/-SamplecodeforAXI-STconfiguredXDMAIP.||__user_events/-Samplecodeforaccesstousereventinterrupts.||__xdma_info/-UtilityapplicationwhichprintsouttheXDMAcoreip||configuration.||__xdma_rw/-Utilityforreading/writingto/fromxdmadevicenodessuch||ascontrol,user,bypass,h2c_0,c2h_0etc.||__xdma_test/-BasictestapplicationwhichperformsH2C/C2Htransferson|allpresentchannels.|__inc/-ContainspublicAPIheaderfileforXDMAdriver.|__libxdma/-StatickernellibraryforXDMAIP.|__sys/-Referencedriversourcecodewhichuseslibxdma|__README.md-Thisfile.|__XDMA.sln-VisualStudioSolution.```

Writtenbyanexpertinthegameindustry,ChristerEricson'snewbookisacomprehensiveguidetothecomponentsofefficientreal-timecollisiondetectionsystems.Thebookprovidesthetoolsandknow-howneededtoimplementindustrial-strengthcollisiondetectionforthehighlydetaileddynamicenvironmentsofapplicationssuchas3Dgames,virtualrealityapplications,andphysicalsimulators.Ofthemanytopicscovered,akeyfocusisonspatialandobjectpartitioningthroughawidevarietyofgrids,trees,andsortingmethods.Theauthoralsopresentsalargecollectionofintersectionanddistancetestsforbothsimpleandcomplexgeometricshapes.SectionsonvectorandmatrixalgebraprovidethebackgroundforadvancedtopicssuchasVoronoiregions,Minkowskisums,andlinearandquadraticprogramming.Ofutmostimportancetoprogrammersbutrarelydiscussedinthismuchdetailinotherbooksarethechapterscoveringnumericalandgeometricrobustness,bothessentialtopicsforcollisiondetectionsystems.Alsouniquearethechaptersdiscussinghowgraphicshardwarecanassistincollisiondetectioncomputationsandonadvancedoptimizationformoderncomputerarchitectures.Allinall,thiscomprehensivebookwillbecometheindustrystandardforyearstocome.

Labview生成的TDMS文件批量转MAT文件代码，包含convertData.m、simpleConvertTDMS.m、convertTDMS.m三个文件，读取同一个文件夹下所有tdms文件并转为同名的mat文件，亲测可用，另附读取转换后的mat文件数据的说明文档。

SimpleExpenseManagerThisisanandroidbasedbasicexpensemanagerapplicationwhichwillbeusedasalabassignmentforCS3042-DatabaseSystemscoursemodule.DescriptionDuringthisassignmentwewillbeself-learninghowtouseanembeddeddatabaseinanandroidapplication.Thisprojectisanandroidapplicationthatactasaskeleton.Followingisthestructureoftheapplication.Thecurrentimplementationisnon-persistent.Thereforealltheaccountinformationandtransactionsares

深度学习(DeepLearning)是机器学习(MachineLearning)中近年来备受重视的一支，深度学习根源于类神经网络(ArtificialNeuralNetwork)模型，但今日深度学习的技术和它的前身已截然不同，目前最好的语音识别和影像辨识系统都是以深度学习技术来完成，你可能在很多不同的场合听过各种用深度学习做出的惊人应用(例如：最近红遍大街小巷的AlphaGo)，听完以后觉得心痒痒的，想要赶快使用这项强大的技术，却不知要从何下手学习，可以学习一下这个资料。
可以毫不犹豫的说，这个资料是我看过最系统，也最通俗易懂的关于深度学习的文章。
它是由台大教授李宏毅讲解一天搞懂深度学习讲课的PPT，PPT主要包含四部分：什么是深度学习、深度学习的各种小技巧、有记忆力的深度学习模型、深度学习的应用和展望。
OutlineLectureI:IntroductionofDeepLearningLecturell:TipsforTrainingDeepNeuralNetworkLecturelll:ariantsofneuralNetworkLecturev:NextWaveLectureIntroductionofDeeplearningOutlineoflecturentroductionofDeepLearningLet'sstartwithgeneralmachinelearningWhyDeep"HelloWorldforDeepLearningMachineLearningLookingforafunctionSpeechrecognitionHowareyouImagerecognition=“Cat"Playinggo5-5″(nextmoveDialogueSystemHello(whattheusersaid)(systemresponseImageRecognition:FrameworkcatAsetofModefunctioncat)=“money"dosnakeImageRecognition:FrameworkcatAsetofModelf(41)="cat"f(=“moneyfunctionBetter)=“dog"f2(nakeGoodnessoffunctionfSupervisedLearningTrainingDatamonkey”“cat"“dogImageRecognition:FrameworkcatModelTrainingTestinAsetofunctioncatStepGoodnessofPickthe"Best"FunctionUsingfunctionfStepStep3TrainingDatamonkey”“cat"“dogThreestepsfordeeplearningStepStepStep3:pickdefineasetgoodnessofthebestoffunctionfunctionfunctionDeepLearningissosimple3DCTENCENTCO

经过一个上午的折腾,终于能够发送邮件了.主要是jar包的处理.下面是附件的使用说明.欢迎大家交流.将文件夹中5个jar包放入lib下即可.在实际开发中,需要避免不同版本的jar包冲突.下面是我的开发经验(针对当前具体环境而言):(1)//SimpleMailemail=newSimpleMail();//email.setTLS(true);第二行代码如果不注释起来,会导致发送邮件失败.我在apache官方文档(版本1.2)说这个方法已经过失了.用新替代的方法,目前这个版本不支持.最新的jar包是版本commons-email-1.3.jar.但是apache官方不能下载.(2)mail.jar和activation.jar的作用在Tomcat环境下如果没有这个两个jar包会报java.lang.NoClassDefFoundError:javax/mail/Message的错误。
网上提供的下载地址:mail.jar下载地址：http://java.sun.com/products/javamail/downloads/index.html(能进到oracle对应的页面)activation.jar下载地址：http://java.sun.com/products/javabeans/jaf/downloads/index.html(此页面好像已经变更了)这个两个包到底是做什么的我目前也不太清楚(3)apachemail官方文档http://commons.apache.org/email/apidocs/index.html

heLeesigmafilterwasdevelopedin1983basedonthesimpleconceptoftwo-sigmaprobability,anditwasrea-sonablyeffectiveinspecklefiltering.However,deficiencieswerediscoveredinproducingbiasedestimationandinblurringanddepressingstrongreflectedtargets.Theadvancementofsyntheticapertureradar(SAR)technologywithhigh-resolutiondataoflargedimensionsdemandsbetterandefficientspecklefilteringalgorithms.Inthispaper,weextendandimprovetheLeesigmafilterbyeliminatingthesedeficiencies

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。