一种非线性非平稳自适应信号处理方法—希尔伯特-黄变换综述:发展与应用

A Review of the Nonlinear Nonstationary Adaptive Signal Processing Method-Hilbert-Huang Transform: Its Development and Applications

非线性非平稳信号的分析、处理以及特征提取问题,一直是学术和工程界关注的热点问题之一。为突破传统数据分析方法受线性或者平稳性假设的限制,一种新颖的、高效的非线性、非平稳、自适应的数据分析方法——希尔伯特-黄变换(HHT)被提出。在这篇综述中,我们介绍HHT的基本思想和近期发展,总结起在工程领域中的应用情况,并且列举与之相关的数学问题。

It is one of hot topic in the scientific and engineering research area that analyzing,processing and feature extracting nonlinear and nonstationary data.To break the limit of linearity and stationarity assumption in traditional data,a novel,highly effective,adaptive nonlinear and nonstationary data analysis method called Hilbert-Huang Transform（HHT） is proposed in last decade.In this review,the basic idea of this method and the recent development,summarize the applications in various engineering research areas are introduced and the related mathematical problems are discussed.