Applying the wavelet transform to derive sea surface elevation from acceleration signals

Laurence Zsu Hsin Chuang, Li Chung Wu, Ching Ruei Lin, Chia Chuen Kao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The current work develops a procedure for carrying out the theories of continuous wavelet transform and inverse wavelet transform to derive sea surface level from acceleration records. Wave signals were applied to verify the practicability of the wavelet algorithm. It is revealed the accuracy of sea surface elevation is influenced by the margins of wave signals, noise in the low frequency band, and the mother wavelet function. After discussing cases of regular and irregular wave signals, this investigation confirms the method for deriving sea surface elevation from the acceleration signal using the wavelet transform.

Original languageEnglish
Title of host publicationMTS/IEEE Biloxi - Marine Technology for Our Future
Subtitle of host publicationGlobal and Local Challenges, OCEANS 2009
Publication statusPublished - 2009 Dec 1
EventMTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009 - Biloxi, MS, United States
Duration: 2009 Oct 262009 Oct 29

Publication series

NameMTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009

Other

OtherMTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009
CountryUnited States
CityBiloxi, MS
Period09-10-2609-10-29

Fingerprint

Wavelet transforms
Inverse transforms
Frequency bands

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems
  • Electrical and Electronic Engineering
  • Ocean Engineering

Cite this

Chuang, L. Z. H., Wu, L. C., Lin, C. R., & Kao, C. C. (2009). Applying the wavelet transform to derive sea surface elevation from acceleration signals. In MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009 [5422433] (MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009).
Chuang, Laurence Zsu Hsin ; Wu, Li Chung ; Lin, Ching Ruei ; Kao, Chia Chuen. / Applying the wavelet transform to derive sea surface elevation from acceleration signals. MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009. 2009. (MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009).
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abstract = "The current work develops a procedure for carrying out the theories of continuous wavelet transform and inverse wavelet transform to derive sea surface level from acceleration records. Wave signals were applied to verify the practicability of the wavelet algorithm. It is revealed the accuracy of sea surface elevation is influenced by the margins of wave signals, noise in the low frequency band, and the mother wavelet function. After discussing cases of regular and irregular wave signals, this investigation confirms the method for deriving sea surface elevation from the acceleration signal using the wavelet transform.",
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year = "2009",
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Chuang, LZH, Wu, LC, Lin, CR & Kao, CC 2009, Applying the wavelet transform to derive sea surface elevation from acceleration signals. in MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009., 5422433, MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009, MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009, Biloxi, MS, United States, 09-10-26.

Applying the wavelet transform to derive sea surface elevation from acceleration signals. / Chuang, Laurence Zsu Hsin; Wu, Li Chung; Lin, Ching Ruei; Kao, Chia Chuen.

MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009. 2009. 5422433 (MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Wu, Li Chung

AU - Lin, Ching Ruei

AU - Kao, Chia Chuen

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N2 - The current work develops a procedure for carrying out the theories of continuous wavelet transform and inverse wavelet transform to derive sea surface level from acceleration records. Wave signals were applied to verify the practicability of the wavelet algorithm. It is revealed the accuracy of sea surface elevation is influenced by the margins of wave signals, noise in the low frequency band, and the mother wavelet function. After discussing cases of regular and irregular wave signals, this investigation confirms the method for deriving sea surface elevation from the acceleration signal using the wavelet transform.

AB - The current work develops a procedure for carrying out the theories of continuous wavelet transform and inverse wavelet transform to derive sea surface level from acceleration records. Wave signals were applied to verify the practicability of the wavelet algorithm. It is revealed the accuracy of sea surface elevation is influenced by the margins of wave signals, noise in the low frequency band, and the mother wavelet function. After discussing cases of regular and irregular wave signals, this investigation confirms the method for deriving sea surface elevation from the acceleration signal using the wavelet transform.

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Chuang LZH, Wu LC, Lin CR, Kao CC. Applying the wavelet transform to derive sea surface elevation from acceleration signals. In MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009. 2009. 5422433. (MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009).