摘要
本文对Hilbert—Huang变换（Hilbert-Huang Transform）理论做了仿真研究，并通过仿真实验对非平稳信号作经验模式分解（Empirical Mode Decomposition），得到它的固有模态函数（Intrinsic Mode Function）分量；对各个分量作Hilbert变换，得到瞬时频率，并构造希尔伯特谱-时间-频率的时频分布图。通过与短时傅立叶变换（Short Time Fourier Transform）、小波变换（Ｗavelet Tramform的分析比较，Hilbert—Huang变换方法更能反应原始数据的固有特性，有更好的时频聚集性，更适用于对突变信号和非平稳信号的处理。
Simulation of Hilbert-Huang transform is researched in this paper, Simulation experiment has proved that the non-stationary signal is decomposed according to their intrinsic characteristic scales into a number of intrinsic mode function components by using empirical mode decomposition method. Instantaneous frequency and amplitude spectrum-time-frequency distribution are achieved by Hilbert transform to intrinsic mode function components. Finally Hilbert-Huang transform has a more intrinsic characteristic of the original data, and better congregativeness in time-frequency, more excellent process in mutational and non-stationary signal by having compared with short time Fourier transform and wavelet transform
作者
魏兰英
李明
顾学康
徐春
WEI Lan-ying, LIMing, GU Xue-kang, XU Chun （1.East China Normal University, Shanghai 200062, China; 2.China Ship Scientific Research Center, Wuxi 214082, China）
出处
《电脑知识与技术》
2007年第4期142-142,153,共2页
Computer Knowledge and Technology
基金
国家自然科学基金（60573125）
