%Time-FrequencyToolbox.%Version1.0January1996%Copyright(c)1994-96byCNRS(France)-RICEUniversity(USA).%%SignalGenerationFiles%%sigmerge-AddtwosignalswithgivenenergyratioindB.%%ChoiceoftheInstantaneousAmplitude%amexpo1s-Generateone-sidedexponentialamplitudemodulation.%amexpo2s-Generatebilateralexponentialamplitudemodulation.%amgauss-Generategaussianamplitudemodulation.%amrect-Generaterectangularamplitudemodulation.%amtriang-Generatetriangularamplitudemodulation.%%ChoiceoftheInstantaneousFrequency%fmconst-Signalwithconstantfrequencymodulation.%fmhyp-Signalwithhyperbolicfrequencymodulation.%fmlin-Signalwithlinearfrequencymodulation.%fmodany-Signalwitharbitraryfrequencymodulation.%fmpar-Signalwithparabolicfrequencymodulation.%fmpower-Signalwithpower-lawfrequencymodulation.%fmsin-Signalwithsinusoidalfrequencymodulation.%gdpower-Signalwithapower-lawgroupdelay.%%ChoiceofParticularSignals%altes-Altessignalintimedomain.%anaask-AmplitudeShiftKeyed(ASK)signal.%anabpsk-BinaryPhaseShiftKeyed(BPSK)signal.%anafsk-FrequencyShiftKeyed(FSK)signal.%anapulse-Analyticprojectionofunitamplitudeimpulsesignal.%anaqpsk-QuaternaryPhaseShiftKeyed(QPSK)signal.%anasing-Lipschitzsingularity.%anastep-Analyticprojectionofunitstepsignal.%atoms-LinearcombinationofelementaryGaussianwavepackets.%dopnoise-GeneratecomplexDopplerrandomsignal.%doppler-GeneratecomplexDopplersignal.%klauder-Klauderwaveletintimedomain.%mexhat-Mexicanhatwaveletintimedomain.%tftb_window-Windowgeneration(previouslywindow.m).%%AdditionofNoise%noisecg-Analyticcomplexgaussiannoise.%noisecu-Analyticcomplexuniformnoise.%%Modification%s

TheJupyterNotebookallowsyoutocreateandsharedocumentsthatcontainlivecode,equations,visualizations,andexplanatorytext.TheJupyterNotebooksystemisextensivelyusedindomainssuchasdatacleaningandtransformation,numericalsimulation,statisticalmodeling,andmachinelearning.LearningJupyter5willhelpyougettogripswithinteractivecomputingusingreal-worldexamples.ThebookstartswithadetailedoverviewoftheJupyterNotebooksystemanditsinstallationindifferentenvironments.Next,youwilllearntointegratetheJupytersystemwithdifferentprogramminglanguagessuchasR,Python,Java,JavaScript,andJulia,andexplorevariousversionsandpackagesthatarecompatiblewiththeNotebooksystem.Movingahead,youwillmasterinteractivewidgetsandnamespacesandworkwithJupyterinamulti-usermode.Bytheendofthisbook,youwillhaveusedJupyterwithabigdatasetandbeabletoapplyallthefunctionalitiesyou’veexploredthroughoutthebook.YouwillalsohavelearnedallabouttheJupyterNotebookandbeabletostartperformingdatatransformation,numericalsimulation,anddatavisualization.

Domain2AssetSecurity.pdf

function[PSNR,y_est]=BM3D(y,z,sigma,profile,print_to_screen,N2,N2_wiener,Ns,Ns_wiener,tau_match)%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%BM3DisanalgorithmforattenuationofadditivewhiteGaussiannoisefrom%grayscaleimages.Thisalgorithmreproducestheresultsfromthearticle:%%[1]K.Dabov,A.Foi,V.Katkovnik,andK.Egiazarian,"ImageDenoising%bySparse3DTransform-DomainCollaborativeFiltering,"%IEEETransactionsonImageProcessing,vol.16,no.8,August,2007.%preprintathttp://www.cs.tut.fi/~foi/GCF-BM3D.%%%FUNCTIONINTERFACE:%%[PSNR,y_est]=BM3D(y,z,sigma,profile,print_to_screen)%%!Thefunctioncanworkwithoutanyoftheinputarguments,%inwhichcase,theinternaldefaultonesareused!%%BASICUSAGEEXAMPLES:%%Case1)Usingthedefaultparameters(i.e.,imagename,sigma,etc.)%%[PSNR,y_est]=BM3D;%%Case2)Usinganexternalnoisyimage:

Formanycomputervisionproblems,themosttimeconsumingcomponentconsistsofnearestneighbormatchinginhigh-dimensionalspaces.Therearenoknownexactalgorithmsforsolvingthesehigh-dimensionalproblemsthatarefasterthanlinearsearch.Approximatealgorithmsareknowntoprovidelargespeedupswithonlyminorlossinaccuracy,butmanysuchalgorithmshavebeenpublishedwithonlyminimalguidanceonselectinganalgorithmanditsparametersforanygivenproblem.Inthispaper,wedescribeasystemthatanswersthequestion,“Whatisthefastestapproximatenearest-neighboralgorithmformydata?”Oursystemwilltakeanygivendatasetanddesireddegreeofprecisionandusethesetoautomaticallydeterminethebestalgorithmandparametervalues.Wealsodescribeanewalgorithmthatappliesprioritysearchonhierarchicalk-meanstrees,whichwehavefoundtoprovidethebestknownperformanceonmanydatasets.Aftertestingarangeofalternatives,wehavefoundthatmultiplerandomizedk-dtreesprovidethebestperformanceforotherdatasets.Wearereleasingpublicdomaincodethatimplementstheseapproaches.Thislibraryprovidesaboutoneorderofmagnitudeimprovementinquerytimeoverthebestpreviouslyavailablesoftwareandprovidesfullyautomatedparameterselection.

DataMining:TheTextbookBy作者:CharuC.AggarwalISBN-10书号:3319141414ISBN-13书号:9783319141411Edition版本:2015出版日期:2015-04-14pages页数:(734)$89.99Thistextbookexploresthedifferentaspectsofdataminingfromthefundamentalstothecomplexdatatypesandtheirapplications,capturingthewidediversityofproblemdomainsfordataminingissues.Itgoesbeyondthetraditionalfocusondataminingproblemstointroduceadvanceddatatypessuchastext,timeseries,discretesequences,spatialdata,graphdata,andsocialnetworks.Untilnow,nosinglebookhasaddressedallthesetopicsinacomprehensiveandintegratedway.Thechaptersofthisbookfallintooneofthreecategories:Fundamentalchapters:Datamininghasfourmainproblems,whichcorrespondtoclustering,classification,associationpatternmining,andoutlieranalysis.Thesechapterscomprehensivelydiscussawidevarietyofmethodsfortheseproblems.Domainchapters:Thesechaptersdiscussthespecificmethodsusedfordifferentdomainsofdatasuchastextdata,time-seriesdata,sequencedata,graphdata,andspatialdata.Applicationchapters:Thesechaptersstudyimportantapplicationssuchasstreammining,Webmining,ranking,recommendations,socialnetworks,andprivacypreservation.Thedomainchaptersalsohaveanappliedflavor.Appropriateforbothintroductoryandadvanceddataminingcourses,DataMining:TheTextbookbalancesmathematicaldetailsandintuition.Itcontainsthenecessarymathematicaldetailsforprofessorsandresearchers,butitispresentedinasimpleandintuitivestyletoimproveaccessibilityforstudentsandindustrialpractitioners(includingthosewithalimitedmathematicalbackground).Numerousillustrations,examples,andexercisesareincluded,withanemphasisonsemanticallyinterpretableexamples.

微博支付系统免费奉送啦！源码完整拿去研究！其他的支付系统我会陆续放出来。
建议使用Nginx环境，伪静态在目录中有php5.6数据库5.6php5.6开启扩展ZendGuardLoaderionCubefileinfoopcacheredis上传程序到根目录，修改根目录下的配置文件config.php数据库导入开启定时任务，开启后点击执行一次，如果成功出现执行日志代表成功搭建后如果demo不出现支付二维码请手动修改run/gateway/controller/pay.php下的155行.DOMAINS_URL.变量直接修改目录路径地址

简单的页面注册到数据库，使用一些列httpServletRequest，httpServlet，domain，DBUtils类，dao类，mysql注册驱动器，配置dbinfo.properties文件。

说明：??轴系测试程序，多通道输入输出，实现时域、频域、轴心轨迹、瀑布图等功能。
(Shaftingtestprogram,multi-channelinputandoutput,toachievetimedomain,frequencydomain,orbit,waterfallandotherfunctions.)

Domain4.0明小子网站注入工具明小子注入工具,ASP注入必备武器。
请大家小心使用!!!

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。