非线性系统
操纵希尔伯特空间
小波
光谱分析
光谱空间
希尔伯特谱分析
希尔伯特空间
统计物理学
光谱(功能分析)
湍流
物理
计算机科学
光谱密度
数学分析
希尔伯特变换
数学
核希尔伯特再生空间
机械
人工智能
电信
量子力学
纯数学
光谱学
作者
Norden E. Huang,Zheng Shen,Steven Long
出处
期刊:Annual Review of Fluid Mechanics
[Annual Reviews]
日期:1999-01-01
卷期号:31 (1): 417-457
被引量:1839
标识
DOI:10.1146/annurev.fluid.31.1.417
摘要
▪ Abstract We survey the newly developed Hilbert spectral analysis method and its applications to Stokes waves, nonlinear wave evolution processes, the spectral form of the random wave field, and turbulence. Our emphasis is on the inadequacy of presently available methods in nonlinear and nonstationary data analysis. Hilbert spectral analysis is here proposed as an alternative. This new method provides not only a more precise definition of particular events in time-frequency space than wavelet analysis, but also more physically meaningful interpretations of the underlying dynamic processes.
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