A sampling limit for the empirical mode decomposition

被引:0
|
作者
Stevenson, N [1 ]
Mesbah, M [1 ]
Boashash, B [1 ]
机构
[1] Queensland Univ Technol, CRC Integrated Engn Asset Management, Brisbane, Qld 4001, Australia
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The aim of this paper is to investigate the effect of sampling on the empirical mode decomposition (EMD). To this end, an experiment utilising linear frequency modulated (LFM) signals was used to simulate different sampling rates. This experiment showed that as the frequency content of the signal (f(c)) approached the sampling frequency (f(S)) the EMD performed poorly due to poor amplitude resolution. This led to a definition of a sampling limit that was 5 times the Nyqvist rate (f(s)/10) to improve the performance of the EMD Comparative simulation with this sampling limit was conducted on a simulated and a real world signal. The results exhibited significant improvement in intrinsic mode function (IMF) orthogonality, the distribution of IMF energy and IMF coherence.
引用
收藏
页码:647 / 650
页数:4
相关论文
共 50 条
  • [1] SAMPLING EFFECTS ON THE EMPIRICAL MODE DECOMPOSITION
    Rilling, Gabriel
    Flandrin, Patrick
    ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS, 2009, 1 (01) : 43 - 59
  • [2] On the influence of sampling on the empirical mode decomposition
    Rilling, Gabriel
    Flandrin, Patrick
    2006 IEEE International Conference on Acoustics, Speech and Signal Processing, Vols 1-13, 2006, : 2895 - 2898
  • [3] A confidence limit for the empirical mode decomposition and Hilbert spectral analysis
    Huang, NE
    Wu, MLC
    Long, SR
    Shen, SSP
    Qu, WD
    Gloersen, P
    Fan, KL
    PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2003, 459 (2037): : 2317 - 2345
  • [4] IMPROVEMENT OF ENSEMBLE EMPIRICAL MODE DECOMPOSITION BY OVER-SAMPLING
    Bekka, Rais El'hadi
    Berrouche, Yaakoub
    ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS, 2013, 5 (03)
  • [5] Improving Empirical Mode Decomposition Based on Up-Sampling
    Mo, Jialing
    Hu, Weiping
    Le, Shasha
    2014 IEEE/ACIS 13TH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCE (ICIS), 2014, : 415 - 418
  • [6] Improvement of empirical mode decomposition under low sampling rate
    Xu, Zhengguang
    Huang, Benxiong
    Zhang, Fan
    SIGNAL PROCESSING, 2009, 89 (11) : 2296 - 2303
  • [7] Variable sampling of the empirical mode decomposition of two-dimensional signals
    Linderhed, A
    INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, 2005, 3 (03) : 435 - 452
  • [8] Comparison of performances of variational mode decomposition and empirical mode decomposition
    Yue, Yingjuan
    Sun, Gang
    Cai, Yanping
    Chen, Ru
    Wang, Xu
    Zhang, Shixiong
    ENERGY SCIENCE AND APPLIED TECHNOLOGY (ESAT 2016), 2016, : 469 - 476
  • [9] Environmental sound classification using optimum allocation sampling based empirical mode decomposition
    Ahmad, Saad
    Agrawal, Shubham
    Joshi, Samta
    Taran, Sachin
    Bajaj, Varun
    Demir, Fatih
    Sengur, Abdulkadir
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2020, 537
  • [10] Enhanced empirical mode decomposition
    Donnelly, Denis
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2008, PT 2, PROCEEDINGS, 2008, 5073 : 696 - 706