An Overview of Wavelet Analysis and Its Application to Ocean Wind Waves
An Overview of Wavelet Analysis and Its Application to Ocean Wind Waves
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DOI：
10.2112/04-0274.1
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发表时间：
2010-05
期刊：
影响因子：
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通讯作者：
Mohamed A. K. Elsayed
中科院分区：
文献类型：
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作者：
Mohamed A. K. Elsayed
摘要小波分析被认为是信号处理中的一种最先进的技术，它将信号转换成具有高分辨率的尺度时间表示（尺度图），保留了信号的时间特性。在本研究中，傅立叶分析，短时傅立叶分析，小波分析的概述，它们之间的差异。为了说明小波分析在海岸工程及其它相关领域中的重要性，本文首先对小波分析的应用进行了综述，然后利用小波分析对风场突变引起的波浪增长这一复杂现象进行了分析。研究表明，利用复Morlet小波分析可以定性地探讨风速和有效波高时间序列的时间特性。结果表明，波浪立即响应风条件的突然变化。
Abstract 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.