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1、IEEETRANSACTIONSONINSTRUMENTATIONANDMEASUREMENT,VOL.50,NO.1,FEBRUARY200115ADigital-Signal-ProcessingTechniqueforUltrasonicSignalModelingandClassificationAngeloM.Sabatini,Member,IEEEAbstract—Inthispaper,wefacetheproblemofconstructingBecauseoftheselimitations
2、,in-airacousticimagingsystemsarobustfeaturespaceforautomaticclassificationofsignalsfromhavestillquitelimitedapplicationsforthepurposeofpatternnarrow-bandin-airultrasonicsensors.Inconsiderationoftheex-recognitionandsceneunderstanding.Currentsystemsworkonisti
3、ngsensorbandwidthrestrictions,theimportanceofselectingarangesonarimageswhicharegeneratedusingeitherasinglesuitablesignaldescriptorishighlighted.Weassumethatthechar-acteristicsoftheultrasonicsourceswhichproducethesignalsaresensor,mechanicallysweptinasequence
4、ofrasters,orasensorimpressedintheshapeoftheirechoenvelopes.arraywhosebeamiselectronicallydeflected[3]–[5].Mostly,AtechniquebasedonorthonormalLaguerrepolynomialsisap-theidentificationprocessfollowsthereconstructionofasuit-pliedtotheechoenvelopesforconstructi
5、ngthefeaturespace.Dif-ablespatialimageoftheobject.However,objectidentificationferentmethodsforcomputingtheLaguerrecoefficientsaredis-canalsobebasedontheinformationextractedfromasinglecussed,andthepropertiesoftheresultingfeaturespaceareinves-tigated.receivin
6、gsonarsensoratafixedposition[6]–[10].Theanal-Fortheexperimentalverificationofthemethod,asetofacousticysisofthereturnsignalmayallowcapturingasetofsignaturessourcesissynthesizedbysubmittingahigh-frequencypiezoelectricwhicharetypicalofagivenobject,withoutrequi
7、ringarepre-transducertovaryinglevelsofelectricaldamping.Howsomefac-sentationofitssurface[11].Inaccordancetoalinearsystemtors,i.e.,thesignal-to-noiseratio(SNR)ofthereturnsignals,andmodel,theback-scatteringpropertiesofamotionlessobjectarethesamplingratetodigi
8、tizethem,affecttheachievablerecognitionrateisdiscussed.Highrecognitionratesareobtainedinourexper-generallyexplainedintermsofalineartime-invariantoper-iments,inspiteofthefactthat,byvisualinspection,thes
