基于隨機(jī)共振的弱信號(hào)檢測(cè)及其Hopfield型神經(jīng)元實(shí)現(xiàn).pdf

1、中山大學(xué)碩士學(xué)位論文基于隨機(jī)共振的弱信號(hào)檢測(cè)及其Hopfield型神經(jīng)元實(shí)現(xiàn)姓名：李杰申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：檢測(cè)技術(shù)與自動(dòng)化裝置指導(dǎo)教師：姜孝華20080505TheResearchofWeakSignalDetection訪aStochasticResonanceandReal娩ationthroughHop6eldNeuronM萄0rN鋤e：MeasuringTechIl0109)r&AutomatedEquipment：LiJi

2、eSupeⅣisor：Pr0￡Ji鋤gXiaohuaABSTRACTTheexistenceofnoiselowersignal’soutputreaCtion，inordertoimproVesigI]lal’sdetectionabili饑peopleal、VaystIytoloweroreVeneliminatenoiSeButthe廿leoDrofstochaSticreson鋤ce(SRforshort)showsthatin

3、apanicularnonlinearsystem，right鯽∞硼tofnoisecouldimproVethesystem’soutputsigIlal—to—noiseratio，whichcouldenhanceweaksignaldetectionabilitySRhasreceivedmoreandmoreattentionscurrentlyFirsuy，廿1ispaperh舔鋤oVer、，iewoftlleSRtheo巧

4、research，觚猷yses日lerelationShip鋤ongstaIldardquanicbista_blesystem，signalandnoiseSecondly，pmsf0“舊州HopfieldneⅦonrealizingSRtodetectweaksignalsUndertheconditionofsmall講Irameters，makestheoriesdeduce&simulationreSearchonnoiSyb

5、istableHopfieldneuron，studiestheinnuenceofsignal鋤plitudeandf詫quenc)，，noiseintensi饑SystemstmctureparametersonHopfieldneuronSRSyStemBigparameterssigIlalswhichareVe巧commoninindustrialapplicationaretIlorou曲lyinVestigatedLots

6、ofsimulationresultsshowthatitemtionst印h嬲allimportantregulation硒1ction0nHo兩eldneuronrealizingSRWhentheratioofpracticalsampling舶quenCy鋤dsig衄l船quencyisequaltoorla瑪ertllall500，Ho曲eldneuroncoulddetectbig舭quencysigmlwellAminga

7、tbigfreIquencysigIlaldrownedbyStrongnoise，tIlispaperappliesdimensiontransfo姍ationinneuronsystemtodetectbigp盯anleterssigIlals，鋤dputsfom刪rdfIutlleranewkindofmethordwhichc鋤detectbigparatemerSsignalsbyrelagutingiterationstI印