A novel approach of fast and adaptive bidimensional empirical mode decomposition

被引:73
作者
Bhuiyan, Sharif M. A. [1 ]
Adhami, Reza R. [1 ]
Khan, Jesmin F. [1 ]
机构
[1] Univ Alabama, Dept Elect & Comp Engn, Huntsville, AL 35899 USA
来源
2008 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-12 | 2008年
关键词
bidimensional empirical mode decomposition (BEMD); envelope estimation; order-statistics filter;
D O I
10.1109/ICASSP.2008.4517859
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Bidimensional empirical mode decomposition (BEMD) techniques are associated with high computation time and other artifacts because of the application of two dimensional (2D) scattered data interpolation methods. In this paper, order statistics filters are employed to get the upper and lower envelopes in the MM process, instead of the surface interpolation. Based on the achieved characteristics of the proposed approach, it is considered as fast and adaptive BEMD (FABEND). Simulation results demonstrate that besides reducing the computation time, FABEMD outperforms the original BEMD in terms of the quality in some cases.
引用
收藏
页码:1313 / 1316
页数:4
相关论文
共 9 条
[1]  
Brodatz P, 1966, TEXTURES PHOTOGRAPHI
[2]   A fast algorithm for bidimensional EMD [J].
Damerval, C ;
Meignen, S ;
Perrier, V .
IEEE SIGNAL PROCESSING LETTERS, 2005, 12 (10) :701-704
[3]  
Huan B., 2007, IEEE SIGNAL PROCESSI, V14, P537
[4]   The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis [J].
Huang, NE ;
Shen, Z ;
Long, SR ;
Wu, MLC ;
Shih, HH ;
Zheng, QN ;
Yen, NC ;
Tung, CC ;
Liu, HH .
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 1998, 454 (1971) :903-995
[5]   2-D empirical mode decompositions - in the spirit of image compression [J].
Linderhed, A .
WAVELET AND INDEPENDENT COMPONENET ANALYSIS APPLICATIONS IX, 2002, 4738 :1-8
[6]  
Liu Z, 2006, I C COMP AID DES CON, P291
[7]   Boundary processing of bidimensional EMD using texture synthesis [J].
Liu, ZX ;
Peng, SL .
IEEE SIGNAL PROCESSING LETTERS, 2005, 12 (01) :33-36
[8]   Texture classification through directional empirical mode decomposition [J].
Liu, ZX ;
Wang, HJ ;
Peng, SL .
PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 4, 2004, :803-806
[9]   Image analysis by bidimensional empirical mode decomposition [J].
Nunes, JC ;
Bouaoune, Y ;
Delechelle, E ;
Niang, O ;
Bunel, P .
IMAGE AND VISION COMPUTING, 2003, 21 (12) :1019-1026