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Multiple Wavelet Shrinkage : 다중 웨이블릿을 이용한 잡음 제거 기법
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- Authors
- Advisor
- 오희석
- Major
- 자연과학대학 통계학과
- Issue Date
- 2016-02
- Publisher
- 서울대학교 대학원
- Keywords
- Discrete wavelet transform ; Multiple wavelet ; Multiple wavelet shrinkage ; Wavelet ; Wavelet shrinkage
- Description
- 학위논문 (석사)-- 서울대학교 대학원 : 통계학과, 2016. 2. 오희석.
- Abstract
- Wavelets 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.
- Language
- English
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