Hilbert-Huang变换是一种重要的非平稳信号分析工具,其对信号的处理包含两个方面:(i)经验模态分解;(ii)Hilbert谱分析.2012年,Li,Tao和Wang利用线性正域上的Hilbert变换将该变换推广到线性正则域,从而获得了一种更为灵活的信号分析工具.本文提出了Hilbert—Huang变换在线性正则域的一种新推广.这种新推广先利用经验模态分解将信号转换成固有模态函数,再引入另一种线性正则域的Hilbert变换对固有模态函数进行Hilbert谱分析,从而得到Hilbert—Huang变换在线性正则域的一种新推广.
Hilbert-Huang transform is an efficient non-stationary signal analysis tool. In its processing, two aspects are included. (i) empirical mode decompositiong (ii) Hilbert spectral analysis. In 2012, Li, Tao and Wang proposed a generalized Hilbert-Huang transform associated the linear canonical trans- form, so as to obtain a more flexible tool. In this paper, we propose a new Hilbert-Huang transform as- sociated with the linear canonical transform. We firstly decompose the signal into instrinsic mode func- tions by useing empirical mode decomposition. Then we introduce another Hilber transform associted the linear canonical transform and we get a new Hilbert spectral analysis of instrinsic mode functions.