Delta—Sigma调制器的最经典著作，微电子、通信、集成电路设计相关方向的权威书籍，pdf高清版，不是扫描版！！

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ExploratoryDataAnalysisUsingRprovidesaclassroom-testedintroductiontoexploratorydataanalysis(EDA)andintroducestherangeof"interesting"–good,bad,andugly–featuresthatcanbefoundindata,andwhyitisimportanttofindthem.ItalsointroducesthemechanicsofusingRtoexploreandexplaindata.Thebookbeginswithadetailedoverviewofdata,exploratoryanalysis,andR,aswellasgraphicsinR.Itthenexploresworkingwithexternaldata,linearregressionmodels,andcraftingdatastories.ThesecondpartofthebookfocusesondevelopingRprograms,includinggoodprogrammingpracticesandexamples,workingwithtextdata,andgeneralpredictivemodels.Thebookendswithachapteron"keepingitalltogether"thatincludesmanagingtheRinstallation,managingfiles,documenting,andanintroductiontoreproduciblecomputing.Thebookisdesignedforbothadvancedundergraduate,entry-levelgraduatestudents,andworkingprofessionalswithlittletonopriorexposuretodataanalysis,modeling,statistics,orprogramming.itkeepsthetreatmentrelativelynon-mathematical,eventhoughdataanalysisisaninherentlymathematicalsubject.Exercisesareincludedattheendofmostchapters,andaninstructor'ssolutionmanualisavailable.AbouttheAuthor:RonaldK.PearsonholdsthepositionofSeniorDataScientistwithGeoVera,apropertyinsurancecompanyinFairfield,California,andhehaspreviouslyheldsimilarpositionsinavarietyofapplicationareas,includingsoftwaredevelopment,drugsafetydataanalysis,andtheanalysisofindustrialprocessdata.HeholdsaPhDinElectricalEngineeringandComputerSciencefromtheMassachusettsInstituteofTechnologyandhaspublishedconferenceandjournalpapersontopicsrangingfromnonlineardynamicmodelstructureselectiontotheproblemsofdisguisedmissingdatainpredictivemodeling.Dr.Pearsonhasauthoredorco-authoredbooksincludingExploringDatainEngineeri

OptimalEstimationofDynamicSystems,SecondEditionhighlightstheimportanceofbothphysicalandnumericalmodelinginsolvingdynamics-basedestimationproblemsfoundinengineeringsystems.Accessibletoengineeringstudents,appliedmathematicians,andpracticingengineers,thetextpresentsthecentralconceptsandmethodsofoptimalestimationtheoryandappliesthemethodstoproblemswithvaryingdegreesofanalyticalandnumericaldifficulty.Differentapproachesareoftencomparedtoshowtheirabsoluteandrelativeutility.Theauthorsalsoofferprototypealgorithmstostimulatethedevelopmentandproperuseofefficientcomputerprograms.MATLAB(R)codesfortheexamplesareavailableonthebook'swebsite.NewtotheSecondEditionWithmorethan100pagesofnewmaterial,thisreorganizededitionexpandsuponthebest-sellingoriginaltoincludecomprehensivedevelopmentsandupdates.Itincorporatesnewtheoreticalresults,anentirelynewchapteronadvancedsequentialstateestimation,andadditionalexamplesandexercises.Anidealself-studyguideforpracticingengineersaswellasseniorundergraduateandbeginninggraduatestudents,thebookintroducesthefundamentalsofestimationandhelpsnewcomerstounderstandtherelationshipsbetweentheestimationandmodelingofdynamicalsystems.Italsoillustratestheapplicationofthetheorytoreal-worldsituations,suchasspacecraftattitudedetermination,GPSnavigation,orbitdetermination,andaircrafttracking.

DavidSilver的强化学习ReinforcementLearning课程讲义PPT2017最新版

GoogleDeepMind的DavidSilver的强化学习课程讲义，包括MarkovDecisionProcesses、PlanningbyDynamicProgramming、Model-FreePrediction、Model-FreeControl、FunctionApproximation、PolicyGradientMethods、IntegratingLearningandPlanning、ExplorationandExploitation以及游戏案例分析。
视频：https://www.youtube.com/playlist?list=PL5X3mDkKaJrL42i_jhE4N-p6E2Ol62Ofa

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

全套DavidSilver课程讲义，包含9个lecture和一个casestudy.

NumericalMethodsinMatrixComputations

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。