包含有Ronsenbrock，Schaffer，Schewel,Schwefel,ShiftedRonsenbrock,ShiftedSphere,Sphere,Step,SumDIfferent,SumSquares,Zakharov，等测试函数，代码是MATLAB实现的，并且都是子函数形式，方便使用

封装了pdftoppm和pdftocairo的python（3.5+）模块，可将PDF转换为PILImage对象如何安装pipinstallpdf2image视窗Windows用户必须为Windows构建或下载poppler。
我建议使用@oschwartz10612最新版本。
然后，您必须将bin/文件夹添加到PATH或poppler_path=r"C:\path\to\poppler-xx\bin"asanargument在中使用convert_from_path。
苹果Mac用户必须为Mac安装poppler。
的Linux大多数发行版都附带pdftop

研究过程中实现的，分享出来。
是一种多种分析图绘制合一的完整函数并对生成谱进行自动的peaks筛选输出。
已经形成自定义函数，放到特定路径下即可直接调用，配有较详细的使用说明style=1,plotamplitudevaluespectrumï¼›%style=2,plotpowerspectrum;%style=3,plotloglogPSD%style=4,pwelchwithsegementsnumber此绘图函数可以输入多种调用参数，如'FrequencyBan'，'Findpeaks'，'MinPeakHeight','MinPeakProminence'，'MinPeakDistance','Threshold','WindowNum','Overlap','Nfft','ustar'等参数控制

MT6575_MT6162_MT6620_MT5193_DDR_EMMCREFSCHV0.2.schWS1728.pcb

RISCV参考文档，ThegoodnewsisthatanopeninstructionsetthatadherescloselytotheRISCprincipleshasrecentlydebuted,anditisrapidlygainingafollowing.RISC-V,whichwasdevelopedoriginallyatUCBerkeley,notonlycleansupthequirksoftheMIPSinstructionset,butitoffersasimple,elegant,moderntakeonwhatinstructionsetsshouldlooklikein2017

Writtenbypioneersoftheconcept,thisisthefirstcompleteguidetothephysicalandengineeringprinciplesofMassiveMIMO.Assumingonlyabasicbackgroundincommunicationsandstatisticalsignalprocessing,itwillguidereadersthroughkeytopicssuchaspropagationmodels,channelmodeling,andmulti-cellperformanceanalyses.Theauthors’uniquecapacity-boundapproachwillenablereaderstocarryoutmoreeffectivesystemperformanceanalysisanddevelopadvancedMassiveMIMOtechniquesandalgorithms.Numerouscasestudies,aswellasproblemsetsandsolutionsaccompanyingthebookonline,willhelpreadersputknowledgeintopracticeandacquiretheskillsetneededtodesignandanalyzecomplexwirelesscommunicationsystems.Whetheryouareagraduatestudent,researcher,orindustryprofessionalworkinginthefieldofwirelesscommunications,thiswillbeanindispensableguideforyearstocome.

一本很不错的科技英语写作教材,hisbookisdesignedtohelpnon-nativespeakersofEnglishwritescienceresearchpapersforpublicationinEnglish.However,itcanalsobeusedasaguidefornativeEnglishspeakerswhowouldlikesupportwiththeirsciencewriting,andbysciencestudentswhoneedtowriteaMaster’sdissertationorPhDthesis.

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

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

PDF版用Go实现一门解释型语言。
Buythisbooktolearn:HowtobuildaninterpreterforaC-likeprogramminglanguagefromscratchWhatalexer,aparserandanAbstractSyntaxTree(AST)areandhowtobuildyourownWhatclosuresareandhowandwhytheyworkWhatthePrattparsingtechniqueandarecursivedescentparserisWhatotherstalkaboutwhentheytalkaboutbuilt-indatastructuresWhatREPLstandsforandhowtobuildone

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。