奥本海姆（AlanV．Oppenheim）教授是美国麻省理工学院电子学研究实验室（ELE）的首席研究员，其研究领域包括在一般领域的信号处理及应用。
奥本海默教授是美国国家工程院院士（NationalAcademyofEngineering）和IEEE会士，也是EtaKappaNu和SigmaXi的联谊会会员。
同时他还是古根海姆（Guggenheim）学者和以色列特拉维夫大学赛克勒尔（Sackler）学者。
奥本海姆教授因其出色的科研和教学工作多次获奖，其中包括IEEE教育勋章、IEEE百年杰出贡献奖、IEEE在声学、语音和信号处理领域的社会与科学成就奖和资深成就奖。
2007年他还获得了IEEEJackS．Kilby信号处理奖章。
目录第1章信号与系统SignalsandSystems第2章线性时不变系统LinearTime—InvariantSystems第3章周期信号的傅里叶级数表示FourierSeriesRepresentationofPeriodicSignals第4章连续时间傅里叶变换TheContinuous—TimeFourierTransform第5章离散时间傅里叶变换TheDiscreteTimeFourierTransf01Tll第6章信号与系统的时域和频域特性Time—andFrequeneyCharacterizationofSignalsandSystems第7章抽样Sampling第8章通信系统CommunicationSystems第9章拉普拉斯变换TheLaplaceTransform第10章Z变换TheZTransf01TII第11章线性反馈系统LinearFeedbackSystems附录部分分式展开Partial-FractionExpansion参考文献Bibliography习题答案Answers索引Inde

DiscreteMathematicswithApplications4theditionbySusannaEpp

离散数学+Discretemathematics1.FundamentalPrinciplesofCounting2.FundamentalofLogic3.SetTheory4.PropertiesoftheIntegers:MathematicalInduction

Thisdefinitivetextbookprovidesasolidintroductiontodiscreteandcontinuousstochasticprocesses,tacklingacomplexfieldinawaythatinstilsadeepunderstandingoftherelevantmathematicalprinciples,anddevelopsanintuitivegraspofthewaytheseprinciplescanbeappliedtomodellingreal-worldsystems.ItincludesacarefulreviewofelementaryprobabilityanddetailedcoverageofPoisson,GaussianandMarkovprocesseswithrichlyvariedqueuingapplications.Thetheoryandapplicationsofinference,hypothesistesting,estimation,randomwalks,largedeviations,martingalesandinvestmentsaredeveloped.Writtenbyoneoftheworld'sleadinginformationtheorists,evolvingovertwentyyearsofgraduateclassroomteachingandenrichedbyover300exercises,thisisanexceptionalresourceforanyonelookingtodeveloptheirunderstandingofstochasticprocesses.

CategoricalDataAnalysis,ThirdEditionsummarizesthelatestmethodsforunivariateandcorrelatedmultivariatecategoricalresponses.ReaderswillfindaunifiedgeneralizedlinearmodelsapproachthatconnectslogisticregressionandPoissonandnegativebinomialloglinearmodelsfordiscretedatawithnormalregressionforcontinuousdata.ALANAGRESTIisDistinguishedProfessorEmeritusintheDepartmentofStatisticsattheUniversityofFlorida.Hehaspresentedshortcoursesoncategoricaldatamethodsinthirtycountries.

第七版Indroduction_to_Mathematica_Statistics.Hogg,McKean,Craigseventhedition.pdfUIUC的STAT401统计课程教材ContentsPrefaceix1ProbabilityandDistributions11.1Introduction................................11.2SetTheory................................31.3TheProbabilitySetFunction......................101.4ConditionalProbabilityandIndependence...............211.5RandomVariables............................321.6DiscreteRandomVariables.......................401.6.1Transformations.........................421.7ContinuousRandomVariables......................441.7.1Transformations.........................461.8ExpectationofaRandomVariable...................521.9SomeSpecialExpectations.......................571.10ImportantInequalities..........................682MultivariateDistributions732.1DistributionsofTwoRandomVariables................732.1.1Expectation............................792.2Transformations:BivariateRandomVariables.............842.3ConditionalDistributionsandExpectations..............942.4TheCorrelationCoefficient.......................1022.5IndependentRandomVariables.....................1102.6ExtensiontoSeveralRandomVariables................1172.6.1∗MultivariateVariance-CovarianceMatrix...........1232.7TransformationsforSeveralRandomVariables............1262.8LinearCombinationsofRandomVariables...............1343SomeSpecialDistributions1393.1TheBinomialandRelatedDistributions................1393.2ThePoissonDistribution........................1503.3TheΓ,χ2,andβDistributions.....................1563.4TheNormalDistribution.........................1683.4.1ContaminatedNormals.....................174vviContents3.5TheMultivariateNormalDistribution.................1783.5.1∗Applications...........................1853.6t-andF-Distributions

Modelpredictivecontrol(MPC)hasalonghistoryinthefieldofcontrolen-gineering.Itisoneofthefewareasthathasreceivedon-goinginterestfromresearchersinboththeindustrialandacademiccommunities.Fourmajoras-pectsofmodelpredictivecontrolmakethedesignmethodologyattractivetobothpractitionersandacademics.Thefirstaspectisthedesignformulation,whichusesacompletelymultivariablesystemframeworkwheretheperfor-manceparametersofthemultivariablecontrolsystemarerelatedtotheengi-neeringaspectsofthesystem;hence,theycanbeunderstoodand‘tuned’byengineers.Thesecondaspectistheabilityofthemethodtohandleboth‘soft’constraintsandhardconstraintsinamultivariablecontrolframework.Thisisparticularlyattractivetoindustrywheretightprofitmarginsandlimitsontheprocessoperationareinevitablypresent.Thethirdaspectistheabilitytoperformon-lineprocessoptimization.Thefourthaspectisthesimplicityofthedesignframeworkinhandlingallthesecomplexissues.Thisbookgivesanintroductiontomodelpredictivecontrol,andrecentdevelopmentsindesignandimplementation.Beginningwithanoverviewofthefield,thebookwillsystematicallycovertopicsinrecedinghorizoncon-trol,MPCdesignformulations,constrainedcontrol,Laguerre-function-basedpredictivecontrol,predictivecontrolusingexponentialdataweighting,refor-mulationofclassicalpredictivecontrol,tuningofpredictivecontrol,aswellassimulationandimplementationusingMATLABandSIMULINKasaplatform.Bothcontinuous-timeanddiscrete-timemodelpredictivecontrolispresentedinasimilarframework.

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.

Masterthefundamentalsofdiscretemathematicsandproof-writingwithMATHEMATICS:ADISCRETEINTRODUCTION!Withaclearpresentation,themathematicstextteachesyounotonlyhowtowriteproofs,buthowtothinkclearlyandpresentcaseslogicallybeyondthiscourse.Thoughitispresentedfromamathematician'sperspective,youwilllearntheimportanceofdiscretemathematicsinthefieldsofcomputerscience,engineering,probability,statistics,operationsresearch,andotherareasofappliedmathematics.Toolssuchhintsandprooftemplatesprepareyoutosucceedinthiscourse.

RF系统设计，PCB阻抗计算WhatisAppCAD?“AppCADisaneasy-to-useprogramthatprovidesyouwithauniquesuiteofRFdesigntoolsandcomputerizedApplicationNotestomakeyourwirelessdesignjobfasterandeasier.AppCAD'sunique,interactiveapproachmakesengineeringcalculationsquickandeasyformanyRF,microwave,andwirelessapplications.AppCADisusefulforthedesignandanalysisofmanycircuits,signals,andsystemsusingproductsfromdiscretetransistorsanddiodestoSiliconandGaAsintegratedcircuits.ThekeywordforAppCADiseasy-nocircuitfiles,nomanuals-justquickandeasy.“

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。