An Overview of Wavelet Analysis and Its Application to Ocean Wind Waves

被引:8
|
作者
Elsayed, Mohamed [1 ]
机构
[1] Arab Acad Sci & Technol & Maritime Transport Arab, Coll Engn & Technol, Cairo, Egypt
关键词
Morlet wavelet; Fourier analysis; short-time Fourier analysis; wave growth; GROUPING CHARACTERISTICS; TIME-SERIES;
D O I
10.2112/04-0274.1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Wavelet analysis is considered a state-of-the-art technique in signal processing, It transforms the signal into a scale-time representation (scalogram) with high resolution, preserving the temporal characteristics of the signal In the present study, an overview of Fourier analysis, short-time Fourier analysis, and wavelet analysis are given, and the differences between them are addressed To demonstrate the importance of wavelet analysis in the field of coastal engineering and other related fields, a summary of the recent literature concerning its applications is given first, and then wavelet analysis is used to analyze the complex phenomenon of wave growth due to a sudden change in the wind conditions This study shows that the temporal characteristics of the time series of wind speed and significant wave height can be explored qualitatively by using the complex Morlet wavelet analysis The results reveal that the waves are responding immediately to the sudden change in wind conditions
引用
收藏
页码:535 / 540
页数:6
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