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 language | English |
|---|---|
| Title of host publication | MTS/IEEE Biloxi - Marine Technology for Our Future |
| Subtitle of host publication | Global and Local Challenges, OCEANS 2009 |
| Publication status | Published - 2009 |
| Event | MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009 - Biloxi, MS, United States Duration: 2009 Oct 26 → 2009 Oct 29 |
Other
| Other | MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009 |
|---|---|
| Country | United States |
| City | Biloxi, MS |
| Period | 09-10-26 → 09-10-29 |
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All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Information Systems
- Electrical and Electronic Engineering
- Ocean Engineering
Cite this
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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 proceeding › Conference contribution
TY - GEN
T1 - Applying the wavelet transform to derive sea surface elevation from acceleration signals
AU - Chuang, Zsu-Hsin
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.
UR - http://www.scopus.com/inward/record.url?scp=77951532175&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77951532175&partnerID=8YFLogxK
M3 - Conference contribution
SN - 9781424449606
BT - MTS/IEEE Biloxi - Marine Technology for Our Future
ER -