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Multiple Wavelet Shrinkage : 다중 웨이블릿을 이용한 잡음 제거 기법

DC Field Value Language
dc.contributor.advisor오희석-
dc.contributor.author신창하-
dc.date.accessioned2017-07-19T08:46:00Z-
dc.date.available2017-07-19T08:46:00Z-
dc.date.issued2016-02-
dc.identifier.other000000131854-
dc.identifier.urihttps://hdl.handle.net/10371/131304-
dc.description학위논문 (석사)-- 서울대학교 대학원 : 통계학과, 2016. 2. 오희석.-
dc.description.abstractWavelets are used as basis functions in representing other functions. In this paper, we focus on multiple wavelets, which means number of mother and father wavelet is more than one. Meanwhile, noisy data is hard to find hidden inner side of the function. Solution is wavelet shrinkage method. It is effective method to eliminate the noise and see the original form of function. In this paper, we suggest conditions for multiple wavelet shrinkage's adoption. And we find useful properties of multiple wavelet shrinkage in
time-series data.
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dc.description.tableofcontents1 Introduction 1
2 Multiple Wavelet and Shrinkage 3
2.1 Multiple wavelet 3
2.2 Properties 5
2.3 Multiple wavelet shrinkage 6
3 Simulation Study and Data Analysis 10
3.1 Example function 10
3.2 BabyECG data analysis 16
4 Conclusion 19
References 20
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dc.formatapplication/pdf-
dc.format.extent2130576 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 대학원-
dc.subjectDiscrete wavelet transform-
dc.subjectMultiple wavelet-
dc.subjectMultiple wavelet shrinkage-
dc.subjectWavelet-
dc.subjectWavelet shrinkage-
dc.subject.ddc519-
dc.titleMultiple Wavelet Shrinkage-
dc.title.alternative다중 웨이블릿을 이용한 잡음 제거 기법-
dc.typeThesis-
dc.contributor.AlternativeAuthorChangha Shin-
dc.description.degreeMaster-
dc.citation.pages20-
dc.contributor.affiliation자연과학대학 통계학과-
dc.date.awarded2016-02-
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