@thesis{thesis,
		author={Tri  Khaerudin},
		title ={Analisis perbandingan metode transformasi wavelet diskrit dan filter hilbert diskrit pada denoising sinyal phonocardiogram},
		year={2020},
		url={https://repository.ittelkom-pwt.ac.id/5727/},
		abstract={Thecontentofnoiseinthephonocardiogram(PCG)signalisamajorproblemin theanalysisof heartconditions thatgenerallyoccurinthe recordingprocess. The developmentofamethodofeliminatingnoise(denoising)isthegoaloftheresearchthat hasbeenconducted.Observationofsystemperformanceisdoneusingtheadditionof AdditiveWhiteGaussianNoise(AWGN)noise,calculatingtheestimatednoiselevel, threshold,denoisingfortheDiscreteWaveletTransformation(DWT)methodandthe DiscreteHilbertFilter(DHF)methodbyconvolutionofevenandoddDHF.Theresults obtainedusingtheDWTmethodwithoutBandPassFilter(BPF)produceanaverage valueofSignalNoisetoRatio(SNR)of13.90dBandMeanSquareError(MSE)of 0.01%.DWTresultswithBPFproduceanaverageSNRof12.89dBandMSEof0.30%. DHFresultswithoutBPFproduceanaverageSNRof16.54dBandMSEof1.55%.The resultsofDHFwithBPFproduceanaverageSNRvalueof17.30dBandMSEof1.51%. The results obtained show that the denoising process using Wavelet Transform transformsisabletoprovideagooddenominatingPhonocardiogramsignal,compared tousingaDiscreteHilbertFilter. Keywords:Phonocardiogram(PCG),AdditiveWhiteGaussianNoise(AWGN),Discrete WaveletTransformation(DWT),DiscreteHilbertFilter(DHF),SignalNoisetoRatio (SNR),MeanSquareError(MSE).}
		}