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
  • [41] Empirical Mode Decomposition for Saliency Detection
    Rudinac, Maja
    Lenseigne, Boris
    Jonker, Pieter P.
    PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTATION COMPANION (GECCO'12), 2012, : 365 - 368
  • [42] Extremum Mean Empirical Mode Decomposition
    Pan, JianJia
    Tang, YuanYan
    2012 5TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP), 2012, : 1556 - 1561
  • [43] Empirical mode decomposition with missing values
    Kim, Donghoh
    Oh, Hee-Seok
    SPRINGERPLUS, 2016, 5
  • [44] WEIGHTED SLIDING EMPIRICAL MODE DECOMPOSITION
    Faltermeier, R.
    Zeiler, A.
    Tome, A. M.
    Brawanski, A.
    Lang, E. W.
    ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS, 2011, 3 (04) : 509 - 526
  • [45] Empirical mode decomposition and its application
    Xu, Xiao-Gang
    Xu, Guan-Lei
    Wang, Xiao-Tong
    Qin, Xu-Jia
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2009, 37 (03): : 581 - 585
  • [46] Empirical mode decomposition and its application
    Yu, DJ
    Ren, WX
    PROCEEDINGS OF THE EIGHTH INTERNATIONAL SYMPOSIUM ON STRUCTURAL ENGINEERING FOR YOUNG EXPERTS, VOLS 1 AND 2, 2004, : 396 - 401
  • [47] Adaptive Beamforming with Empirical Mode Decomposition
    Shin, Junseob
    PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS), 2020,
  • [48] Succinct and fast empirical mode decomposition
    Li, Hongguang
    Hu, Yue
    Li, Fucai
    Meng, Guang
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2017, 85 : 879 - 895
  • [49] Empirical mode decomposition on skeletonization pruning
    Krinidis, Stelios
    Krinidis, Michail
    IMAGE AND VISION COMPUTING, 2013, 31 (08) : 533 - 541
  • [50] Knife Diagnostics with Empirical Mode Decomposition
    Cotogno, Michele
    Cocconcelli, Marco
    Rubini, Riccardo
    ADVANCES IN CONDITION MONITORING OF MACHINERY IN NON-STATIONARY OPERATIONS, 2016, 4 : 167 - 175