简介：

简介：Basedondiscretewavelettransform,bothrelativewaveletenergy(RWE)andsegmentwaveletentropy(SWE)ofelectroencephalogram(EEG)aredefinedinthispaper.TheRWEprovidesquantitativelytheinformationabouttherelativeenergyassociatedwithdifferentfrequencybandspresentintheEEG.TheSWEcarriesinformationaboutthedegreeoforderordisorderassociatedwithdifferenttimesegmentofEEGevolution,whichcandeterminethetime-segmentlocalizationsofabnormaldynamicprocessesofbrainactivityduetothelocalizationcharacteristicsofthewavelettransform.TheexperimentalresultsshowthattheRWEandSWEaredifferentbetweenepilepticEEGsandnormalEEGs,whichdemonstratethattheRWEandtheSWEarehelpfultoanalyzethedynamicbehaviorofdifferentEEGs.

简介：Areviewoftheadvanceinthetheoryofwaveletanalysisinrecentyearsisgiven.

简介：

简介：

简介：ThispaperstudiesSyntheticApertureRadar(SAR)imagescontaminatedbythecoherentspecklenoisewiththemultiresolutionanalysisofwavelettransform.ThisstudyshowsthattheinfluencesofthespeckleondifferentfrequencycomponentsoftheSARimagearedifferent,andthattheSARimageandthespecklehavedifferentmannersofsingularity.So,thispaperpresentsadenoisingmethodofwaveletanalysistoreducethespeckle.Someexperimentsapprovethatthismethodnotonlysuppressesthespeckleeffectively,butalsopreservesasmuchtargetcharacteristicsoftheoriginalimageaspossible.ItshowsthatthisdenoisingmethodofwaveletanalysisoffersaveryattractivealternativetosuppressthecoherentspecklenoiseoftheSARimage.

简介：在山崩的监视工程期间，积累的排水量的监视数据被外部因素通常影响。因此，排水量曲线总是有像步的特性，它把一些困难带到山崩的精确预言。为了解决这个问题，基于小浪分析和尖顶大祸，分析方法的一种新类型在这篇文章被建议。首先，Fourier变换方法能被用来提取监视排水量的曲线的频率部件。第二，小浪变换被采用检查信号的断点，它能被用来在山崩监视的曲线分析像步的字符的出现的原因。基于尖顶大祸理论，一个非线性的动态模型被建立进行山崩预报的时间的模拟计算。根据山崩的案例研究，期刊降雨和水库水平变化是在监视排水量的曲线导致像步的变化的主要因素。另外，模拟计算的结果与山崩的本地失败的事实一致。这个方法能为山崩的时间预言提供一个新分析方法。

简介：Anewwaveletvarianceanalysismethodbasedonwindowfunctionisproposedtoinvestigatethedynamicalfeaturesofelectroencephalogram(EEG).TheexprienmentalresultsshowthatthewaveletenergyofepilepticEEGsaremorediscretethannormalEEGs,andthevariationofwaveletvarianceisdifferentbetweenepilepticandnormalEEGswiththeincreaseoftime-windowwidth.Furthermore,itisfoundthatthewaveletsubbandentropy(WSE)oftheepilepticEEGsarelowerthanthenormalEEGs.

简介：Automaticgeneralizationofgeographicinformationisthecoreofmulti-scalerepresentationofspatialdata,butthescale-dependentgeneralizationmethodsarefarfromabundantbecauseofitsextremecomplicacy.Thispaperputsforwardanewconsistencymodelaboutscale-dependentrepresentationsofreliefbasedonwaveletanalysis,anddiscussesthethresholdsinthemodelsoastoacquirethecontinualrepresentationsofreliefwithdifferentdetailsbetweenscales.Themodelnotonlymeetstheneedofautomaticgeneralizationbutalsoisscale-dependentcompletely.Somepracticalexamplesaregiven.

简介：一个小浪方法被使用在每日的气象学的系列检测不同类，逐渐地正在被使用在的数据气候极端学习。小浪方法被用于一些生长得很好的长期的每日的温度系列回到第18世纪，它与常规途径被“一致”。留在系列的问题的各种各样的类型与小浪方法被揭示。他们对在气候极端的变化的分析的影响被讨论。结果有重要性让在常规气候数据处理理解问题以便基于每日的数据改进气候极端的分析。

简介：Thediscreteexcitation-emission-matrixfluorescencespectra(EEMS)at12excitationwavelengths(400,430,450,460,470,490,500,510,525,550,570,and590nm)andemissionwavelengthsrangingfrom600-750nmweredeterminedfor43phytoplanktonspecies.Atwo-rankfluorescencespectradatabasewasestablishedbywaveletanalysisandafluorometricdiscriminationtechniquefordeterminingphytoplanktonpopulationwasdeveloped.Forlaboratorysimulativelymixedsamples,thesamplesmixedfrom43algalspecies(thealgaeofonedivisionaccountedfor25%,50%,75%,85%,and100%ofthegrossbiomass,respectively),theaveragediscriminationratesatthelevelofdivisionwere65.0%,87.5%,98.6%,99.0%,and99.1%,withaveragerelativecontentsof18.9%,44.5%,68.9%,73.4%,and82.9%,respectively;thesamplesmixedfrom32redtidealgalspecies(thedominantspeciesaccountedfor60%,70%,80%,90%,and100%ofthegrossbiomass,respectively),theaveragecorrectdiscriminationratesofthedominantspeciesatthelevelofgenuswere63.3%,74.2%,78.8%,83.4%,and79.4%,respectively.Forthe81laboratorymixedsampleswiththedominantspeciesaccountingfor75%ofthegrossbiomass(chlorophyll),thediscriminationratesofthedominantspecieswere95.1%and72.8%atthelevelofdivisionandgenus,respectively.Forthe12samplescollectedfromthemesocosmexperimentinMaidaoBayofQingdaoinAugust2007,thedominantspeciesofthe11sampleswererecognizedatthedivisionlevelandthedominantspeciesoffourofthefivesamplesinwhichthedominantspeciesaccountedformorethan80%ofthegrossbiomasswerediscriminatedatthegenuslevel;forthe12samplesobtainedfromJiaozhouBayinAugust2007,thedominantspeciesofallthe12sampleswererecognizedatthedivisionlevel.Thetechniquecanbedirectlyappliedtofluorescencespectrophotometersandtothedevelopingofaninsitualgaefluorescenceauto-analyzerforphytoplanktonpopulation.

简介：Digitaldataofprecursorsisnotedforitshighaccuracy.Therefore,itisimportanttoextractthehighfrequencyinformationfromthelowonesinthedigitaldataofprecursorsandtodiscriminatebetweenthetrendanomaliesandtheshort-termanomalies.Thispaperpresentsamethodtoseparatethehighfrequencyinformationfromthelowonesbyusingthewavelettransformtoanalyzethedigitaldataofprecursors,andillustrateswithexamplesthetrainofthoughtsofdiscriminatingtheshort-termanomaliesfromtrendanomaliesbyusingthewavelettransform,thusprovideaneweffectiveapproachforextractingtheshort-termandtrendanomaliesfromthedigitaldataofprecursors.

简介：Wavelet-fractalbasedSAR(syntheticapertureradar)imageprocessingisoneoftheadvancedtechnologiesinimageprocessing.Themainconceptofanalysisisthatafterwavelettransformation,multifractalspectrumofthesignalisdifferentfromthatofnoise.ThisdifferenceisusedtoalleviatethenoiseproducedbySARimage.ThemethodtodenoiseSARimageusingtheprocessbasedonwavelet-fractalanalysisisdiscussedindetail.Essentially,thepresentmethodfocusesonadjustingtheHlderexponentαofmultifractalspectrum.Aftersimulation,αshouldbeadjustedto1.72-1.73.Themorethevalueofαexceeds1.73,thelessdistinctivetheedgesofSARimagebecome.Accordingtotheauthorsdenoisingisoptimalatα=1.72-1.73.Inotherwords,whenα=1.72-1.73,asmoothanddenoisedSARimageisproduced.

简介：

简介：WestatisticallyanalyzethetropicaltyphoonformingintheSouthChinaSeaanduseTC(TropicalCyclone)forshortinthefollowing)bytyphoonyearbook.Thetyphoonquantityisverydifferentindifferentmonthsandyears.TCappearsinallmonthsexceptMarch,andthemostTCquantityinayearis11,theleastis1and6.2onaverage.ThemostTCquantityinamonthis5andtheleastis0.TClandsmostinAugustandnoTClandsonChinesecontinentfromDecembertothefollowingApril.TheprimarylandingareaisbetweenShantouandHainanIsland.ThesustainingperiodofTCisusuallybetween4daysto7days,andthelongestis19days.Only15%oftheTCformingintheSouthChinaSeacanintensifytotyphoon,andtheyallformintheoceanareadeeperthan150m.TheSouthChinaSeaistheoceanareaoverwhichtheTCoccursfrequently.

简介：

简介：在水下的声学的散布回应时间空间组织并且及时是aliasing并且频率领域。当事件角度是未知的时，回响性质的不同系列没被识别。这篇文章在monostatic声纳的目标回响调查变化处理这个问题。有类似的结构的母亲小浪用匹配的过滤器，和在延期因素之间的理论表达式根据预处理信号波形被建议了，事件角度在小浪域被导出。在这个方法能有效地分开几何散布的免费地的水池表演的模拟数据和试验性的结果的分析目标回响的部件。在一个单个角度从几何回响获得的时间延期评价与一致指向几何特征，没有角度信息，它为目标识别提供一个基础。调查结果为分析在实际海洋环境散布回响的橡皮提供珍贵卓见。

简介：

简介：ThebrieftheoriesofwaveletanalysisandHilbert-Huangtransform(HHT)areintroducedfirstlyinthepresentpaper.ThenseveralsignaldatawereanalyzedbyusingwaveletandHHTmethods,respectively.ThecomparisonshowsthatHHTisnotonlyaneffectivemethodforanalyzingnon-stationarydata,butalsoisausefultoolforexaminingdetailedcharactersoftimehistorysignal.

简介：