A Study on the Sonar Data Processing by Using a Discrete Wavelet Transform

이산 웨이브릿 변환을 이용한 소나 자료처리에 관한 연구

  • Kim, Jin-Hoo (Division of Civil and Ocean Engineering, Dong-A University) ;
  • Kim, Hyun-Do (Ocean Engineering Department, Graduate School, Dong-A University)
  • 김진후 (동아대학교 토목해양공학부) ;
  • 김현도 (동아대학교 대학원 해양공학과)
  • Published : 2003.05.23

Abstract

Spectral analysis is an important signal processing tool for time series data. The transformation of a time series into the frequency domain is the basis for a significant number of processing algorithms and interpretive methods. Recently developed transforms based on the new mathematical field of wavelet analysis bypass the resolution limitation and offer superior spectral decomposition. The discrete wavelet transform of Sonar data provides spectral localization of noises, hence noises can be filtered out successfully.

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