壓縮傳感實現(xiàn)方法的研究.pdf

1、北京交通大學(xué)碩士學(xué)位論文壓縮傳感實現(xiàn)方法的研究姓名：王寶貴申請學(xué)位級別：碩士專業(yè)：模式識別與智能系統(tǒng)指導(dǎo)教師：趙瑞珍20090601j匕塞交通太堂亟堂位i金塞△旦墨至B△￡工ABSTRACTItrequiresmorethantwiceofthehighestfrequencyofasignaltosamplethesignalbyusingtheanalog—to—digitalconverter(ADC)traditionallyw

2、hichiswasteoftimeandstorageThenewtheoryofcompressivesensingenablesdirectanalogto—informationconversionofcompressiblesignalsatsubNyquistacquisitionratesItisaninnovationofthewayforsignalacquisitionAtpresent，manyresearchint

3、erestsforcompressivesensingaremainlyconcentratedontheperformanceanalysisforthesensingmatrixandoptimizationofreconstructionalgorithmsHoweverthephysicalimplementationofcompressivesensingisstillintheinitialstage，whichresult

4、edinagapbetweentheoreticalstudyandpracticalapplicationItisveryimportantandcriticaltoproposeamethodwhichishardwarefriendlyandeasytoimplementforcompressingsensingThephysicalimplementationofcompressivesensingisabridgeconnec

5、tingthetheorywithapplicationsThereforeitisveryurgenttoearlyoutresearchonthisareaThemaincontributionsofthispaperareasfollows：1Givenapreprocessingmethodforsignalwhichissuitableforcompressivesensing，whichissuitableforsensin

6、grapidlyandreconstructionaccuracy2AnalysisandrealizationarecomplementedforcompressivesensingbasedonAIC(analoginformation—conversion)systemFirstlytheperformancesoftheAICsystemareanalyzedandimprovedthroughmoreprecisedescri

7、ptionofthephysicalparametersAndthenanequivalentmatrixofAICacquisitionsystemforsignalreconstructionissynthesizedFinallyasimulationisdonetoverifythewholeprocessofcompressivesensing3Inaccordancewiththespecificrequirementsof

8、sensingmatrix，asensingmatrixisderivedfromthehadamardmatrixAnanalogstructureofcompressivesensingbasedonrandomhadamardmatrixisgiven，andthenthefeasibilityofthestructureissimplydemonstratedKEYWORDS：compressivesensing；sparser