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

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
EventMTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009 - Biloxi, MS, United States
Duration: 2009 Oct 262009 Oct 29

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, 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]
Chuang, 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.
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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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Chuang, Z-H, 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, Biloxi, MS, United States, 09-10-26.

Applying the wavelet transform to derive sea surface elevation from acceleration signals. / Chuang, 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.

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

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T1 - Applying the wavelet transform to derive sea surface elevation from acceleration signals

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AU - Wu, Li Chung

AU - Lin, Ching Ruei

AU - Kao, Chia Chuen

PY - 2009

Y1 - 2009

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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M3 - Conference contribution

SN - 9781424449606

BT - MTS/IEEE Biloxi - Marine Technology for Our Future

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Chuang Z-H, 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