Multicomponent AM-FM signals analysis based on EMD-B-splines ESA

Signal Processing

Volumn 92, Issue 9, 2012, Pages 2214-2228

  Bouchikhi, Abdelkhalek ^a,b   Boudraa, Abdel Ouahab ^a  

^a French Naval Academy   (France)

^b LAB STICC   (France)

Author keywords

AM FM modeling; Empirical Mode Decomposition; Energy Separation Algorithm; Hilbert transform; Teager Kaiser operator

Indexed keywords

ADDITIVE WHITE GAUSSIAN NOISE; B-SPLINE; EMPIRICAL MODE DECOMPOSITION; ENERGY SEPARATION ALGORITHM; FIGURES OF MERITS; FREQUENCY MODULATED; HILBERT; HILBERT TRANSFORM; INSTANTANEOUS AMPLITUDE; INSTANTANEOUS FREQUENCY; LOW-TO-HIGH; LOWER ENVELOPES; MULTICOMPONENT AM-FM SIGNALS; MULTICOMPONENTS; NONLINEAR APPROACH; ROBUSTNESS AGAINST NOISE; TEAGER-KAISER OPERATOR; TIME VARYING;

ALGORITHMS; AMPLITUDE MODULATION; INTERPOLATION; SHIP PROPELLERS;

SIGNAL PROCESSING;

EID: 84859542966     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2012.02.014     Document Type: Article

References (19)

1. L. Cohen Time-Frequency Analysis: Theory and Applications 1995 Prentice-Hall
2. N.E. Huang The empirical mode decomposition and Hilbert spectrum for nonlinear and non-stationary time series analysis Proceedings of the Royal Society 454 1971 1998 903 995
3. N.E. Huang On instantaneous frequency Advances in Adaptive Data Analysis 1 2 2009 177 229
4. P. Flandrin, G. Rilling, and P. Goncalves Empirical mode decomposition as a filter bank IEEE Signal Processing Letters 11 2 2004 112 114
5. Q. Chen, N. Huang, S. Riemenschnieder, and Y. Xu A B-spline approach for EMD Advances in Computational Mathematics 24 1-4 2006 171 195
6. J.C. Cexus, A.O. Boudraa, Nonstationary signals analysis by Teager-Hunag Transform (THT), in: EUSIPCO, Florence, 2006, p. 5.
7. D. Dimitriadis, P. Maragos, An improved energy demodulation algorithm using splines, in: ICASSP, Salt Lake, USA, 2001, pp. 1-4.
8. P. Maragos, J.F. Kaiser, and T.F. Quatieri On amplitude and frequency demodulation using energy operators IEEE Transactions on Signal Processing 41 1993 1532 1550
9. M. Unser, A. Aldroubi, and M. Eden B-spline signal processing IEEE Transactions on Signal Processing 41 1993 821 848
10. D. Dimitriadis, P. Maragos, Robust energy demodulation based on continuous models with application to speech recognition, in: ECSCT-EUROSPEECH, Geneva, Switzerland, 2003, pp. 1-4.
11. D. Dimitriadis, and P. Maragos Continuous energy demodulation and application to speech analysis Speech Communication 48 2006 819 937
12. A. Bouchikhi, A.O. Boudraa, S. Benramdane, E.H.S. Diop, Empirical mode decomposition and some operators to estimate instantaneous frequency: a comparative study, in: IEEE ISCCSP, 2008, Malta, p. 4.
13. A.O. Boudraa, J.C. Cexus, F. Salzenstein, L. Guillon, IF estimation using empirical mode decomposition and nonlinear Teager energy operator, in: IEEE ISCCSP, Hammamet, Tunisia, 2004, pp. 45-48.
14. B. Santhanam, P. Maragos, Demodulation of discrete multicomponent AM-FM signals using periodic algebraic separation and energy demodulation, in: ICASSP, vol. 3, Munich, 1997, pp. 2409-2412.
15. J.F. Kaiser, On a simple algorithm to calculate the energy of a signal, in: ICASSP, Albuquerque, NM, USA, 1990, pp. 381-384.
16. S.D. Hwaley, L.E. Atlas, and H.J. Chizek Some properties of empirical mode type signal decomposition algorithm IEEE Signal Processing Letters 17 1 2010 24 27
17. I.J. Schoenberg Contribution to the problem of approximation of equidistant data by analytic functions Quarterly of Applied Mathematics 4 1946 45 99
18. M. Unser, S. Horbelt, T. Blu, Fractional derivatives, splines and tomography, in: EUSIPCO, vol. IV, Tampere, 2000, pp. 2017-2020.
19. A. Bouchikhi, A.O. Boudraa, IF estimation of multicomponent signal by EMD and B-spline version of TKEO, in: GRETSI, Troyes, France, 2007, pp. 817-820.