IEEE Signal Processing - March 2018 - 153
Bjorn Ursin (bjorn.ursin@ntnu.no) received his M.Sc. and
Ph.D. degrees in electrical engineering from the Norwegian
Institute of Technology (NTH), Trondheim, in 1970 and 1976,
respectively. In 1971, he was awarded a Diplome d'Etudes
Approfondies in applied mathematics from the University of
Grenoble, France. He joined NTH [now the Norwegian
University of Science and Technology (NTNU)] as a professor
of applied geophysics in 1989. He has been a professor emeritus
at NTNU since 2013 and a visiting research professor at the
Federal University of Bahia in Salvador, Brazil, since 2014. His
research interests are in modeling, imaging, and inversion of
seismic and electromagnetic data and digital signal processing
applied to geophysical data. He is the recipient of numerous
awards and prizes. He is a Life Senior Member of the IEEE.
References
[1] S. L. Marple, Jr., 1987, Digital Spectral Analysis with Applications. Englewood
Cliffs, NJ: Prentice Hall.
[2] L. Cohen, "Time-frequency distributions: A review," Proc. IEEE, vol. 77, no. 7,
pp. 941-981, 1989.
[3] P. Lesage, F. Glangeaud, and J. Mars, "Applications of autoregressive models
and time-frequency analysis to the study of volcanic tremor and long-period events,"
J. Volcanol. Geothermal Res., vol. 114, no. 3-4, pp. 391-417, 2002.
[21] S. Fomel, "Seismic data decomposition into spectral components using regularized nonstationary autoregression," Geophysics, vol. 78, no. 6, pp. O69-O76, 2013.
[22] G. Wu, S. Fomel, and Y. Chen, "Data-driven time-frequency analysis of seismic data using non-stationary Prony method," Geophys. Prospect., vol. 66, no. 1,
pp. 85-97, 2017.
[23] R. Prony, "Essai éxperimental et analytique: sur les lois de la dila- tabilité de
uides élastique et sur celles de la force expansive de la vapeur de l'alkool, à di érentes températures," Journal de l'École Polytechnique Floréal et Plairial., vol. 1, no.
22, pp. 24-76, 1795.
[24] V. F. Pisarenko, "The retrieval of harmonics from a covariance function,"
Geophys. J. Roy. Astrophys. Soc., vol. 33, pp. 347-366, Sept. 1973.
[25] G. M. Mitrofanov and V. I. Priimenko, "Prony filtration of seismic data:
Theoretical background," Rev. Bras. Geofis., vol. 29, no. 4, pp. 703-722, 2011.
[26] E. Wigner, "On the quantum correction for thermodinamic equilibrium," Phys.
Rev., vol. 40, no. 5, pp. 749-759, 1932.
[27] J. Ville, "Théorie et applications de la notion de signal analytique," Cables et
Transm., vol. 2A, no .1, pp. 61-74, 1948.
[28] B. Boashash, "Note on the use of the Wigner distribution for time-frequency
signal analysis," IEEE Trans. Acoustics Speech Signal Processing, vol. 36, no. 9,
pp. 1518-1521, 1988.
[29] B. Boashash, A. N. Khan, T. Ben-jabeur, N. Ali, and T. Ben-jabeur, "Time-
frequency features for pattern recognition using high-resolution TFDs: A tutorial
review," Digital Signal Process., vol. 40, pp. 1-30, May 2015.
[30] I. Zoukaneri and M. J. Porsani, "A combined Wigner-Ville and maximum
entropy method for high-resolution time-frequency analysis of seismic data,"
Geophysics, vol. 80, no. 6, pp. O1-O11, 2015.
[31] J. P. Burg, "Maximumentropy spectral analysis," Ph.D. dissertation, Stanford
Univ., Stanford, CA, 1975.
[4] J. B. Tary, R. H. Herrera, J. Han, and M. van der Baan, "Spectral estimation:
What is new? What is next?" Rev. Geophys., vol. 52, no. 4, pp. 723-749, 2014.
[32] T. J. Ulrych and T. N. Bishop, "Maximum entropy spectral analysis and autoregressive decomposition," Rev. Geophys., vol. 13, no. 1, pp. 183-200, 1975.
[5] D. Fourer, J. Harmouche, J. Schmitt, T. Oberlin, S. Meigen, F. Auger, and P.
Flandrin, "The ASTRES toolbox for mode extraction of non-stationary multicomponent signals," in Proc. European Signal Processing Conf., Kos, Greece, 2017, pp.
1130-1134.
[33] S. L. Marple, Jr., "Frequency resolution of Fourier and maximum entropy spectral estimates," Geophysics, vol. 47, no. 9, pp. 1303-1307, 1982.
[6] D. Gabor, "Theory of communication," J. Inst. Elect. Eng. Radio Commun.
Eng., vol. 93, no. 26, pp. 429-441, 1946.
[7] P. D. Welch, "The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms," IEEE
Trans. Audio Electroacoust., vol. AU-15, no. 2, pp. 70-73, 1967.
[8] F. Auger, P. Flandrin, Y.-T. Lin, S. McLaughlin, S. Meignen, T. Oberlin, and H.
T. Wu, "Time-frequency reassignment and synchrosqueezing: An overview," IEEE
Signal Processing Mag., vol. 30, no. 6, pp. 32-41, 2013.
[9] D. Iatsenko, P. V. E. McClintock, and A. Stefanovska, "Linear and synchrosqueezed time-frequency representations revisited: Overview, standards of use,
resolution, reconstruction, concentration, and algorithms," Digital Signal Process.,
vol. 42, pp. 1-26, July 2015.
[10] S. Mallat, A Wavelet Tour of Signal Processing: The Sparse Way, 3rd ed. New
York: Academic, 2008.
[11] W. Liu, S. Cao, and Y. Chen, "Seismic time-frequency analysis via empirical
wavelet transform," IEEE Geosci. Remote Sensing Lett., vol. 13, pp. 28-32, Jan. 2015.
[12] R. G. Stockwell, L. Mansinha, and R. P. Lowe, "Localization of the complex
spectrum: The S transform," IEEE Trans. Signal Processing, vol. 44, no. 4, pp.
998-1001, 1996.
[13] I. Daubechies, J. Lu, and H. T. Wu, "Synchrosqueezed wavelet transforms: An
empirical mode decomposition-like tool," Appl. Comput. Harmon. Anal., vol. 30,
no. 2, pp. 243-261, 2011.
[14] Y. Chen, T. Liu, X. Chen, J. Li, and E. Wang, "Time-frequency analysis of
seismic data using synchrosqueezing wavelet transform," J. Seismic Exploration,
vol. 23, no. 4, pp. 303-312, 2014.
[15] R. H. Herrera, J. Han, and M. van der Baan, "Applications of the synchrosqueezing transforming seismic time-frequency analysis," Geophysics, vol. 79,
no. 3, pp. V55-V64, 2014.
[16] S. Mallat and Z. Zhang, "Matching pursuit with time-frequency dictionaries,"
IEEE Trans. Signal Processing, vol. 41, no. 12, pp. 3397-3415, 1993.
[17] N. E. Huang, Z. Shen, S. R. Long, M. C. Wu, H. H. Shih, Q. Zheng, N.-C.
Yen, C. C. Tung, and H. H. Liu, "The empirical mode decomposition and the
Hilbert spectrum for nonlinear and non-stationary time series analysis," Proc. R.
Soc. Lond. A Math. Phys. Eng. Sci., vol. 454, no. 1971, pp. 903-995, 1998.
[18] J. Han and M. van der Baan, "Empirical mode decomposition for seismic time-
frequency analysis," Geophysics, vol. 78,no. 2, pp. O9-O19, 2013.
[19] K. Dragomiretskiy and D. Zosso, "Two-dimensional variational mode decomposition," IEEE Trans. Signal Processing, vol. 62, no. 3, pp. 531-544, 2014.
[20] W. Liu, S. Cao, and Y. Chen, "Applications of variational mode decomposition in
seismic time-frequency analysis," Geophysics, vol. 81, no. 5, pp. V365-V378, 2016.
[34] N. Levinson, "TheWiener RMS(rootmean square) criterion in filter design and
prediction," J. Math. Phys. Mass. Inst. Technol., vol. 25, no. 1-4, pp. 261-278,
1947.
[35] L. Marple, "A new autoregressive spectrum analysis algorithm," IEEE Trans.
Acoustics Speech Signal Processing, vol. 28, no. 4, pp. 441-454, 1980.
[36] M. Morf, B. Dickinson, T. Kailath, and A. Vieira, "Efficient solution of covariance equations for linear prediction," IEEE Trans. Acoustics Speech Signal
Processing, vol. 25, no. 5, pp. 429-433, 1977.
[37] B. P. Abbott, et al. "Direct observation of gravitational waves from a binary
black hole merger," Phys. Rev. Lett., vol. 116, no. 6, pp. 1-16, 2016.
[38] D. A. Gudovskiy and L. Chu, "An accurate and stable sliding DFT computed
by a modified CIC filter," IEEE Signal Processing Mag., vol. 34, no. 1, pp. 89-93,
2017.
[39] P. Lesage, "Automatic estimation of optimal autoregressive filters for the analysis of volcanic seismic activity," Natural Hazards Earth Syst. Sci., vol. 8, no. 2, pp.
369-376, 2008.
[40] J. B. Tary, R. H. Herrera, and M. van der Baan, "Time-varying autoregressive
model for spectral analysis of microseismic experiments and long-period volcanic
events," Geophys. J. Int., vol. 196, no. 1, pp. 600-611, 2013.
[41] J. M. O'Toole, M. Mesbah, and B. Boashash, "A new discrete analytic signal
for reducing aliasing in the discrete Wigner-Ville distribution," IEEE Trans. Signal
Processing, vol. 56, no. 11, pp. 5427-5434, 2008.
[42] B. Boashash, "Estimating and interpreting the instantaneous frequency of a signal-Part 1: Fundamentals," Proc. IEEE, vol. 80, no. 4, pp. 520-538, 1992.
[43] B. Boashash, "Estimating and interpreting the instantaneous frequency of a signal-Part 2: Algorithms and applications," Proc. IEEE, vol. 80, no. 4, pp. 540-568,
1992.
[44] M. Taner, F. Koehler, and R. Sheriff, "Complex seismic trace analysis,"
Geophysics, vol. 55, no. 6, pp. 1041-1063, 1979.
[45] H. Akaike, "Power spectrumestimation through autoregressive model fitting,"
Ann. Inst. Stat. Math., vol. 21, no. 3, pp. 407-419, 1969.
[46] M. E. Torres, M. A. Colominas, G. Schlotthauer, and P. Flandrin, "A complete
ensemble empirical mode decomposition with adaptive noise," in Proc. IEEE Int.
Conf. Acoustics Speech Signal Processing, 2011, pp. 4144-4147.
[47] M. A. Colominas, G. Schlotthauer, and M. E. Torres, "Improved complete
ensemble EMD: A suitable tool for biomedical signal processing," Biomed. Signal
Process. Control, vol. 14, no. 1, pp. 19-29, 2014.
[48] J. P. Castagna, S. Sun, and R. W. Siegfried, "Instantaneous spectral analysis:
Detection of low-frequency shadows associated with hydrocarbons," Leading Edge,
vol. 22, no. 2, pp. 120-127, 2003.
IEEE Signal Processing Magazine
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