Thisbookisaboutthedigitallogicdesignofmicroprocessors.Itisintendedtoprovidebothanunderstandingofthebasicprinciplesofdigitallogicdesign,andhowthesefundamentalprinciplesareappliedinthebuildingofcomplexmicroprocessorcircuitsusingcurrenttechnologies.

毕业设计和课程设计全套资料，主程序代码clc;clearall;closeall;warningoffall;I=imread('images\\1.jpg');I1=Image_Normalize(I,0);%图像归一化hsize=[33];sigma=0.5;I2=Image_Smooth(I1,hsize,sigma,0);I3=Gray_Convert(I2,0);bw2=Image_Binary(I3,0);%二值化处理[~,~,xy_long]=Hough_Process(bw2,I1,0);%霍夫变换angle=Compute_Angle(xy_long);%计算角度[I4,bw3]=Image_Rotate(I1,bw2,angle*1.8,0);%图像旋转[bw4,Loc1]=Morph_Process(bw3,0);%形态处理[Len,XYn,xy_long]=Hough_Process(bw4,I4,0);[bw5,bw6]=Region_Segmation(XYn,bw4,I4,0);[stats1,stats2,Line]=Location_Label(bw5,bw6,I4,XYn,Loc1,1);[Dom,Aom,Answer,Bn]=Analysis(stats1,stats2,Line,I4);

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.

最原版，也最权威的设计模式书籍，当您看过了网上不同练家子对设计模式的讲解后，自然对各个模式有了自己的理解，之后再来阅读下原版的设计模式吧，定会收获不少，希望您会有云开雾散的感觉

如何基于业务需求驱动理念来开展我们的模式创新，成为了当今架构师、设计师的重要职责之一。
本文通过具体的CheckingTable设计模式案例创新过程，阐述在核心业务需求分析中如何开展建模、设计并实现最合理并富弹性的设计模式，在设计模式创新方面展开思考和探索。
GOF基于经验总结并发明了很多设计模式，客观的说，都非常经典，具有重大的理论指导和实战运用价值。
然而这些设计模式远远不能穷尽我们的业务需求，自然也不可能完全支撑我们的业务发展；
另一方面，削足适履般生搬硬套设计模式，往往使项目在代码维护、需求变更方面耗费更大的精力和成本。
以本人多年的工作经验来看，知道设计模式是架构师或者核心设计人员的基本知识，

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.

SASProgramminginthePharmaceuticalIndustry,SecondEditionbyJackShostakEnglish|2014|ISBN:1612906044|308pages|PDF|14MBThiscomprehensiveresourceprovideson-the-jobtrainingforstatisticalprogrammerswhouseSASinthepharmaceuticalindustry.Thisone-stopresourceoffersacompletereviewofwhatentry-tointermediate-levelstatisticalprogrammersneedtoknowinordertohelpwiththeanalysisandreportingofclinicaltrialdatainthepharmaceuticalindustry.SASProgramminginthePharmaceuticalIndustry,SecondEditionbeginswithanintroductiontothepharmaceuticalindustryandtheworkenvironmentofastatisticalprogrammer.Thenitgivesachronologicalexplanationofwhatyouneedtoknowtodothejob.Itincludesinformationonimportingandmassagingdataintoanalysisdatasets,producingclinicaltrialoutput,andexportingdata.ThiseditionhasbeenupdatedforSAS9.4,anditfeaturesnewgraphicsaswellasallnewexamplesusingCDISCSDTMorADaMmodeldatastructures.Whetheryou'reanoviceseekinganintroductiontoSASprogramminginthepharmaceuticalindustryorajunior-levelprogrammerexploringnewapproachestoproblemsolving,thisreal-worldreferenceguideoffersawealthofpracticalsuggestionstohelpyousharpenyourskills.

"WhatHedgeFundsReallyDo"providesaneededcomplementtojournalisticaccountsofthehedgefundindustry,todeepentheunderstandingofnonspecialistreaderssuchaspolicymakers,journalists,andindividualinvestors.Thebookisorganizedinmodulestoallowdifferentreaderstofocusontheelementsofthistopicthatmostinterestthem.Itsauthorsincludeafundpractitionerandacomputerscientist(Balch),incollaborationwithapublicpolicyeconomistandfinanceacademic(Romero).

TodaysComprehensiveandAuthoritativeGuidetoAugmentedRealityByoverlayingcomputer-generatedinformationontherealworld,augmentedreality(AR)amplifieshumanperceptionandcognitioninremarkableways.Workinginthisfast-growingfieldrequiresknowledgeofmultipledisciplines,includingcomputervision,computergraphics,andhuman-computerinteraction.AugmentedReality:PrinciplesandPracticeintegratesallthisknowledgeintoasingle-sourcereference,presentingtodaysmostsignificantworkwithscrupulousaccuracy.PioneeringresearchersDieterSchmalstiegandTobiasHollerercarefullybalanceprinciplesandpractice,illuminatingARfromtechnical,methodological,anduserperspectives.CoverageincludesDisplays:head-mounted,handheld,projective,auditory,andhapticTracking/sensing,includingphysicalprinciples,sensorfusion,andreal-timecomputervisionCalibration/registration,ensuringrepeatable,accurate,coherentbehaviorSeamlessblendingofrealandvirtualobjectsVisualizationtoenhanceintuitiveunderstandingInteractionfromsituatedbrowsingtofull3DinteractionModelingnewgeometriccontentAuthoringARpresentationsanddatabasesArchitectingARsystemswithreal-time,multimedia,anddistributedelementsThisguideisindispensableforanyoneinterestedinAR,includingdevelopers,engineers,students,instructors,researchers,andserioushobbyists.

Reliability-basedIterativeProportionalitylogicDecodingofLDPCCodeswithAdaptiveDecision

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。