基于sopc的emd算法實現(xiàn)

1、電子科技大學(xué)碩士學(xué)位論文基于SOPC的EMD算法實現(xiàn)姓名：王茂義申請學(xué)位級別：碩士專業(yè)：通信與信息系統(tǒng)指導(dǎo)教師：黃煒20100501AbstractAbs仃actAlongwiththedevelopmentofscienceandtechnologynonlinearnonstationarysignalprocessingisbecomingallimportantchallengeintheengineeringpracticea

2、ndscientificapplicationresearchesThetraditionalFourieranalysisrequiresthesystemtobelinearandthedatatobestrictlyperiodicorstationaryThereforeFourieranalysisandsuchbasedonit：theshorttimeFouriertransform，WignerVilledistribu

3、tionandwavelettransformanalysisCannotwellanalysenonlinearnonstationarysignalproblemEmpiricalModeDecomposition(EMD)isanewapproachanalysingnon—linearnon—stationarysignalsinthepastdecadeThismethodcarlmakecomplexsignaldecomp

4、osedintoalimitednumberofIntrinsicModeFunction(IMD，componentsoftheIMFappledtimefrequencydistributionthroughthesignalHilberttransformAsSOfarathomeandabroad，thecurrentmethodofEMDwerelargelyconfinedtouseinsoftwareapplication

5、sThissubjectistryingtointegrateFPGASOPCtechnologytoachieveEMDmethodAstherealizationofEMDmethod，theprocessandthecharacteristicsofFPGAandSOPC，thispaperexploredtechnicalproblemsusingClanguageprogrammingtoachieveEMDinSOPCemb

6、eddedaNiosIICPUThemaincontentsareillustratedasfollows：◆designedthesystemhardwarestructureandselecttheFPGA，offchipSRAMandSDRAM，UARTandon—chipRAMblocksaccordingrequirements，aswellassettheparametersandbuildedSOPChardwarepla

7、tform●implementedtheEMDdecompositionofthecollecteddatabySOPCtechnologyDealling、ⅣimthesignaledgeeffectsbyoneMirrorlinearestimationimplementtheEMDdecompositionofthedatainon—chipRAMThe附componentsthatgottenintheproceedsofthe

8、decompositiontransmittedtoPCviaUARTmachine●theactualsignaloftheEMDdecompositionandcomparedthedifferencesbetweenthedecompositionofthehardwareandsot[ware，atlastdiscussestheadvantagesanddisadvantagesofhardwaredecompositionK