%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

Inthisletter,ap-channellateraldoublediffusedMOSFET(p-LDMOS)withdoubleelectronpathsusedtoenhancethecurrentcapabilityisproposed.Theproposedp-LDMOShastwon-channelsthatarecontrolledbyanauto-generatedvoltagesignal(VGn).ThevoltagesignalVGnisgeneratedduringtheONandOFFstatesoftheholecurrentthatflowsacrossanintegratedresistor(Rp)implementedintheP-baseregion.Thus,thecurrentcapabilityofthep-LDMOScanbesignificantlyenhancedbytheintr

双边滤波器论文“Bilateralfilteringforgrayandcolorimages”代码复现及其改进代码matlab代码

MichaelElad的论文RetinexbytwoBilateralFilters+集会演讲PPT+源码，源码亲测可行基于双边滤波的retinex算法

Firstrelease:26October2017www.sciencemag.org(Pagenumbersnotfinalattimeoffirstrelease)1Theabilitytolearnandgeneralizefromafewexamplesisahallmarkofhumanintelligence(1).CAPTCHAs,imagesusedbywebsitestoblockautomatedinteractions,areexamplesofproblemsthatareeasyforhumansbutdifficultforcomput-ers.CAPTCHAsarehardforalgorithmsbecausetheyaddclutterandcrowdletterstogethertocreateachicken-and-eggproblemforcharacterclassifiers—theclassifiersworkwellforcharactersthathavebeensegmentedout,butsegmentingtheindividualcharactersrequiresanunderstandingofthecharacters,eachofwhichmightberenderedinacombinato-rialnumberofways(2–5).Arecentdeep-learningapproachforparsingonespecificCAPTCHAstylerequiredmillionsoflabeledexamplesfromit(6),andearlierapproachesmostlyreliedonhand-craftedstyle-specificheuristicstosegmentoutthecharacter(3,7);whereashumanscansolvenewstyleswithoutexplicittraining(Fig.1A).Thewidevarietyofwaysinwhichletterformscouldberenderedandstillbeunder-stoodbypeopleisillustratedinFig.1.Buildingmodelsthatgeneralizewellbeyondtheirtrain-ingdistributionisanimportantsteptowardtheflexibilityDouglasHofstadterenvisionedwhenhesaidthat“foranyprogramtohandleletterformswiththeflexibilitythathumanbeingsdo,itwouldhavetopossessfull-scaleartificialintelli-gence”(8).Manyresearchershaveconjecturedthatthiscouldbeachievedbyincorporatingtheinductivebiasesofthevis-ualcortex(9–12),utilizingthewealthofdatageneratedbyneuroscienceandcognitivescienceresearch.Inthema妹妹a-lianbrain,feedbackconnectionsinthevisualcortexplayrolesinfigure-ground-segmentation,andinobject-basedtop-downattentionthatisolatesthecontoursofanobjectevenwhenpartiallytransparentobjectsoccupythesamespatiallocations(13–16).Lateralconnectionsinthevisualco

CollectionofComputerVisionalgorithmsimplementedinMatlab.Algorithms:seamcarving("Seamcarvingforcontent-awareimageprocessing"byS.Avidan&A.Shamir,2007)Algorithmandcodearedescribedindetailshttp://kirilllykov.github.io/blog/2013/06/06/seam-carving-algorithm/bilateralfilter("Bilateralfilteringforgrayandcolorimages"byC.Tomasi&R.Manduchi,1998)fastbilateralfilter("Afastapproximationofthebilateralfilterusingasignalprocessingapproach"byS.Paris&F.Durand,2006)retinex("Retinexbytwobilateralfilters"byM.Elad,2005)shapefromshadingalgorithmbyHornandIkeuchi("TheVariationalApproachtoShapefromShading"byB.HornandM.Brooks,1985)opticalflowalgorithmbyHorn-Shunckforanarrayofinputimages("Determiningopticalflow"byHornandSchunck,1980)generatorofrandomsurfaceandclosedcurve,auxiliarycode

Anewconcepthigh-voltagepseudo-pchannellateraldouble-diffusedMOS(p-LDMOS)withmultiplecurrentpathsforconductionisproposedandinvestigatedinthispaper.Theproposedpowerdeviceconsistsoftwoholecurrentpaths(p-channelMOSdevice)andoneelectroncurrentpath(n-channelMOSdev

很实用的时频分析工具箱，包括短时傅里叶正反变换等，很好，很强大哦~~分享给大家，包括以下函数的源代码：%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%scale-ScalesignalusingMellintransform.%%%ProcessingFiles%%Time-DomainProcess

双边滤波器源码（MATLAB版本），相关资源地址：原作者网站1：http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/MANDUCHI1/Bilateral_Filtering.html#IntroductionMATLAB版本源码下载地址2：http://www.mathworks.com/matlabcentral/fileexchange/12191-bilateral-filteringFastBilateralFilter3：http://people.csail.mit.edu/sparis/bf/相关引见的博客4：http://blog.csdn.net/abcjennifer/article/details/7616663

用matlab实现ELad文章里的算法。
图片也包含在里面。
希望对研究此理论的人有所协助。

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。