中文摘要：

Hilbert-huang（希尔伯特黄）变换是20世纪90年代末兴起的一种重要的非平稳信号处理方法,其中的经验模态分解（EMD）算法更是近年来的研究的热点之一.回顾了EMD算法近十余年来的发展历程,介绍了EMD算法的改进算法及其在工程领域中的运用,包括目前最新的演化算法BEMD、EEMD、CEEMD、MEMD、DEMD等,并结合作者的相关研究介绍了该算法在去噪及盲分离中的一些运用.讨论了EMD算法存在的不足和需要进一步研究的工作.

英文摘要：

Hilbert-Huang transform （HTI＇） is an important signal processing method which grows up since the end of the 90s, especially its first step called Empirical Mode decomposition （EMD） has became the hot research point. This paper reviews the development of the HTT, introduces the EMD algorithm and its deformations such as EEMD, BEMD, CEEMD, MEMD, DEMD and its applications in the engineering. Recently, some author＇s research on de-noise and blind source separation are showed using this algorithm. At the end of the paper, discus- sions and problems of the EMD are presented.