An Analysis of the Short Time Velocity and Direction of Nonstationary Wave by Using Wavelet Transform
碩士 === 國立成功大學 === 水利及海洋工程學系 === 85 === The wavelet transform was often applied to nonstationary data to decomposethe signal into a frequency and time frame. This study istrying to combinethis capability of wavelet transform with traditional phase diff...
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ndltd-TW-085NCKU00830072015-10-13T12:15:18Z http://ndltd.ncl.edu.tw/handle/30208223990728018685 An Analysis of the Short Time Velocity and Direction of Nonstationary Wave by Using Wavelet Transform 應用小波理論分析短時波速與波向之研究 Kuo, Woei Ming 郭瑋明 碩士 國立成功大學 水利及海洋工程學系 85 The wavelet transform was often applied to nonstationary data to decomposethe signal into a frequency and time frame. This study istrying to combinethis capability of wavelet transform with traditional phase difference method (P.D.M.) to estimate the short time velocity and direction of random oceanwave. Also, the nonparametric density function estimation was adopted todetermine the nonstationary probability density function directly in order toeliminate the influence of bin width of classical histogram. For further understanding the meanings of wavelet transform, it was firstto simulate the waves by superposient frequencies, and then the wang two ormore regular waves of differvelet power spectrum and phase spectrum were cal-culated. It was shown that the wavelet power spectrum/phase spectrum couldonly be represented by "peak" frequencies for a specific temporal location.However, the peak frequencies could be the original input frequencies if thewidth of time-frequency window is not overlaid, otherwise they will be theinteracting ones of different frequencies. It is why we calculated the shorttime wav e velocity and direction for peak frequencies in this study. Finally, the mean values and probability density function of short timevelocity and direction of random wave were calculated and compared to theresults obtained by P.D.M.. Also, the probability density function of shorttime direction were compared to the directional spreading function estimatedby Bayesian approach parameters method (B.A.P.M.). The results show that themean values of short time direction were close to the values of P.D.M. and themean direction of B.A.P.M., but the shape of short time direction is lessspreading than the directional spreading function of B.A.P.M.. The mean valuesof short time velocity were slower than the estimation of P.D. M. and alsoslower than the linear wave velocit y of peak frequency in the ratio of 0.8. Chia Chuen Kao, Shyh Shyan Chung, 高家俊, 莊士賢 1997 學位論文 ; thesis 66 zh-TW |
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碩士 === 國立成功大學 === 水利及海洋工程學系 === 85 === The wavelet transform was often applied to nonstationary
data to decomposethe signal into a frequency and time frame.
This study istrying to combinethis capability of wavelet
transform with traditional phase difference method (P.D.M.) to
estimate the short time velocity and direction of random
oceanwave. Also, the nonparametric density function
estimation was adopted todetermine the nonstationary
probability density function directly in order toeliminate the
influence of bin width of classical histogram.
For further understanding the meanings of wavelet transform, it
was firstto simulate the waves by superposient frequencies,
and then the wang two ormore regular waves of differvelet power
spectrum and phase spectrum were cal-culated. It was shown
that the wavelet power spectrum/phase spectrum couldonly be
represented by "peak" frequencies for a specific temporal
location.However, the peak frequencies could be the original
input frequencies if thewidth of time-frequency window is not
overlaid, otherwise they will be theinteracting ones of
different frequencies. It is why we calculated the shorttime
wav e velocity and direction for peak frequencies in this study.
Finally, the mean values and probability density function of
short timevelocity and direction of random wave were
calculated and compared to theresults obtained by P.D.M..
Also, the probability density function of shorttime direction
were compared to the directional spreading function estimatedby
Bayesian approach parameters method (B.A.P.M.). The results
show that themean values of short time direction were close to
the values of P.D.M. and themean direction of B.A.P.M., but the
shape of short time direction is lessspreading than the
directional spreading function of B.A.P.M.. The mean valuesof
short time velocity were slower than the estimation of P.D.
M. and alsoslower than the linear wave velocit y of peak
frequency in the ratio of 0.8.
|
author2 |
Chia Chuen Kao, Shyh Shyan Chung, |
author_facet |
Chia Chuen Kao, Shyh Shyan Chung, Kuo, Woei Ming 郭瑋明 |
author |
Kuo, Woei Ming 郭瑋明 |
spellingShingle |
Kuo, Woei Ming 郭瑋明 An Analysis of the Short Time Velocity and Direction of Nonstationary Wave by Using Wavelet Transform |
author_sort |
Kuo, Woei Ming |
title |
An Analysis of the Short Time Velocity and Direction of Nonstationary Wave by Using Wavelet Transform |
title_short |
An Analysis of the Short Time Velocity and Direction of Nonstationary Wave by Using Wavelet Transform |
title_full |
An Analysis of the Short Time Velocity and Direction of Nonstationary Wave by Using Wavelet Transform |
title_fullStr |
An Analysis of the Short Time Velocity and Direction of Nonstationary Wave by Using Wavelet Transform |
title_full_unstemmed |
An Analysis of the Short Time Velocity and Direction of Nonstationary Wave by Using Wavelet Transform |
title_sort |
analysis of the short time velocity and direction of nonstationary wave by using wavelet transform |
publishDate |
1997 |
url |
http://ndltd.ncl.edu.tw/handle/30208223990728018685 |
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