TIME-VARYING SPECTRUM ESTIMATION OF UNIFORMLY MODULATED PROCESSES BY MEANS OF SURROGATE DATA AND EMPIRICAL MODE DECOMPOSITION

被引:2
作者
Moghtaderi, Azadeh [1 ]
Flandrin, Patrick [1 ]
Borgnat, Pierre [1 ]
机构
[1] Ecole Normale Super Lyon, Phys Lab, F-69364 Lyon 07, France
来源
2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2010年
关键词
Bandlimited signals; spectral analysis; stochastic processes; time-frequency analysis; SERIES;
D O I
10.1109/ICASSP.2010.5495890
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
We propose a new estimate of the time-varying spectra of uniformly modulated processes. The estimate is based on a resampling scheme which incorporates empirical mode decompositions and surrogate data techniques. The performance of the method is studied via simulations.
引用
收藏
页码:3678 / 3681
页数:4
相关论文
共 12 条
[1]  
Dargahi-Noubary G. R., 1981, Journal of Time Series Analysis, V2, P71, DOI 10.1111/j.1467-9892.1981.tb00313.x
[2]   Empirical mode decomposition as a filter bank [J].
Flandrin, P ;
Rilling, G ;
Gonçalvés, P .
IEEE SIGNAL PROCESSING LETTERS, 2004, 11 (02) :112-114
[3]  
Fujita T., 1978, C ENG DESIGN EARTHQU, V12, P139
[4]  
HERBST LJ, 1963, J ROY STAT SOC B, V25, P442
[5]   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
[6]  
MELARD G, 1989, J TIME SER ANAL, V10, P41
[7]  
Moghtaderi A., 2009, P IEEE STAT SIGN PRO, P765
[8]  
Moghtaderi A., 2009, THESIS QUEENS U
[9]  
Rilling G., 2003, IEEE EURASIP WORKSH
[10]   TESTING FOR NONLINEARITY IN TIME-SERIES - THE METHOD OF SURROGATE DATA [J].
THEILER, J ;
EUBANK, S ;
LONGTIN, A ;
GALDRIKIAN, B ;
FARMER, JD .
PHYSICA D, 1992, 58 (1-4) :77-94