Application of the wavelet transform and inverse wavelet transform to analyze the ocean wave signals from data buoys

L. C. Wu; C. C. Kao; D. J. Doong

doi:10.1109/OCEANSSYD.2010.5603544

Application of the wavelet transform and inverse wavelet transform to analyze the ocean wave signals from data buoys

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The ocean wave acceleration signal measured from the data buoy system is a key to derive wave features. It is well- recognized that most of the geophysical quantities are usually non-stationary, so are wave acceleration signals. This study applies a method, based on the theory of the continuous wavelet transform and its inverse, to derive the ocean wave scalogram and sea surface elevation from wave acceleration signals. Irregular wave signals are used to verify the practicality of the wavelet algorithm. After analyzing the natural wave acceleration signals, the wave scalogram presents instant wave nonlinearities at some short-time duration from the wave time series records.

Original language	English
Title of host publication	OCEANS'10 IEEE Sydney, OCEANSSYD 2010
DOIs	https://doi.org/10.1109/OCEANSSYD.2010.5603544
Publication status	Published - 2010 Nov 22
Event	OCEANS'10 IEEE Sydney, OCEANSSYD 2010 - Sydney, NSW, Australia Duration: 2010 May 24 → 2010 May 27

Publication series

Name	OCEANS'10 IEEE Sydney, OCEANSSYD 2010

Other

Other	OCEANS'10 IEEE Sydney, OCEANSSYD 2010
Country/Territory	Australia
City	Sydney, NSW
Period	10-05-24 → 10-05-27

All Science Journal Classification (ASJC) codes

Ocean Engineering

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10.1109/OCEANSSYD.2010.5603544

Cite this

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title = "Application of the wavelet transform and inverse wavelet transform to analyze the ocean wave signals from data buoys",

abstract = "The ocean wave acceleration signal measured from the data buoy system is a key to derive wave features. It is well- recognized that most of the geophysical quantities are usually non-stationary, so are wave acceleration signals. This study applies a method, based on the theory of the continuous wavelet transform and its inverse, to derive the ocean wave scalogram and sea surface elevation from wave acceleration signals. Irregular wave signals are used to verify the practicality of the wavelet algorithm. After analyzing the natural wave acceleration signals, the wave scalogram presents instant wave nonlinearities at some short-time duration from the wave time series records.",

author = "Wu, {L. C.} and Kao, {C. C.} and Doong, {D. J.}",

year = "2010",

month = nov,

day = "22",

doi = "10.1109/OCEANSSYD.2010.5603544",

language = "English",

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series = "OCEANS'10 IEEE Sydney, OCEANSSYD 2010",

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note = "OCEANS'10 IEEE Sydney, OCEANSSYD 2010 ; Conference date: 24-05-2010 Through 27-05-2010",

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T1 - Application of the wavelet transform and inverse wavelet transform to analyze the ocean wave signals from data buoys

AU - Wu, L. C.

AU - Kao, C. C.

AU - Doong, D. J.

PY - 2010/11/22

Y1 - 2010/11/22

N2 - The ocean wave acceleration signal measured from the data buoy system is a key to derive wave features. It is well- recognized that most of the geophysical quantities are usually non-stationary, so are wave acceleration signals. This study applies a method, based on the theory of the continuous wavelet transform and its inverse, to derive the ocean wave scalogram and sea surface elevation from wave acceleration signals. Irregular wave signals are used to verify the practicality of the wavelet algorithm. After analyzing the natural wave acceleration signals, the wave scalogram presents instant wave nonlinearities at some short-time duration from the wave time series records.

AB - The ocean wave acceleration signal measured from the data buoy system is a key to derive wave features. It is well- recognized that most of the geophysical quantities are usually non-stationary, so are wave acceleration signals. This study applies a method, based on the theory of the continuous wavelet transform and its inverse, to derive the ocean wave scalogram and sea surface elevation from wave acceleration signals. Irregular wave signals are used to verify the practicality of the wavelet algorithm. After analyzing the natural wave acceleration signals, the wave scalogram presents instant wave nonlinearities at some short-time duration from the wave time series records.

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U2 - 10.1109/OCEANSSYD.2010.5603544

DO - 10.1109/OCEANSSYD.2010.5603544

M3 - Conference contribution

AN - SCOPUS:78349262734

SN - 9781424452217

T3 - OCEANS'10 IEEE Sydney, OCEANSSYD 2010

BT - OCEANS'10 IEEE Sydney, OCEANSSYD 2010

T2 - OCEANS'10 IEEE Sydney, OCEANSSYD 2010

Y2 - 24 May 2010 through 27 May 2010

ER -

Application of the wavelet transform and inverse wavelet transform to analyze the ocean wave signals from data buoys

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