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Nonlinear Fourier Structure of Complex Surface Wave Trains: A Search forIntegrable and Chaotic Effects in the Dynamics of Ocean Waves

机译：复杂表面波列的非线性傅立叶结构：寻找海浪动力学中的可积和混沌效应

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The main focus of the research reported on here is the development of newnonlinear Fourier spectral analysis methods, based upon the inverse scattering than form (IST), for analyzing measured time series of laboratory and oceanic wave trains. A major emphasis has been the use of the technique for the analysis of substantial quantities of wave data in order to better understand the nonlinear effects which are important in oceanic surface and internal wave fields. A secondary objective of the research has been the analysis of time series of measured wave trains for the effects of chaos and to contrast these results with nonlinear stochastic models. New data analysis procedures for the study of chaotic and stochastic dynamics in ocean waves have also been developed.

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作者
Osborne, A. R.;
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年度 1994
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总页数 26
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Mathematical models; Ocean waves; Algorithms; Fourier transformation; Stochasticprocesses; Surface waves; Ocean surface; Chaos; Time series analysis; Power spectra; Oceanographic data; Shallow water; Mathematical filters; Nonlinear systems; Nonlinear anal;

机译：数学模型;海浪;算法;傅里叶变换;随机过程;表面波;海洋表面;混沌;时间序列分析;功率谱;海洋学数据;浅水;数学滤波器;非线性系统;非线性肛门;

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Nonlinear Fourier Structure of Complex Surface Wave Trains: A Search forIntegrable and Chaotic Effects in the Dynamics of Ocean Waves

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