Browse

Multiple Wavelet Shrinkage
다중 웨이블릿을 이용한 잡음 제거 기법

Cited 0 time in Web of Science Cited 0 time in Scopus
Authors
신창하
Advisor
오희석
Major
자연과학대학 통계학과
Issue Date
2016-02
Publisher
서울대학교 대학원
Keywords
Discrete wavelet transformMultiple waveletMultiple wavelet shrinkageWaveletWavelet 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
URI
http://hdl.handle.net/10371/131304
Files in This Item:
Appears in Collections:
College of Natural Sciences (자연과학대학)Dept. of Statistics (통계학과)Theses (Master's Degree_통계학과)
  • mendeley

Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse