IEEE Signal Processing - March 2018 - 50
Authors
Kenji Nose-Filho (kenji.nose@ufabc.edu.br) received his
B.S. and M.S. degrees in electrical engineering from São
Paulo State University, Brazil, in 2008 and 2011, respectively.
He received his Ph.D. degree from the University of Campinas
(UNICAMP), Brazil, in 2015. From 2015 to 2017, he was a
postdoctoral researcher with UNICAMP. His main research
interest is in digital signal processing with applications in geophysics, time-series forecasting, and image processing. He has
been an assistant professor at the Engineering, Modeling and
Applied Social Sciences Center at the Federal University of
ABC, Santo André, Brazil, since 2017.
André Kazuo Takahata (andre.t@ufabc.edu.br) received his
B.S., M.Sc., and Ph.D. degrees in electrical engineering from the
University of Campinas, Brazil, in 2005, 2009, and 2014, respectively. His main research interest is in digital signal processing,
especially its application to seismic data analysis, image processing, and brain-computer interface. He has been an assistant professor at the Engineering, Modeling, and Applied Social Sciences
Center at the Federal University of ABC since 2016.
Renato Lopes (rlopes@decom.fee.unicamp.br) received
his B.S. and M.Sc. degrees in electrical engineering from the
University of Campinas (UNICAMP), Brazil, in 1995 and
1997, respectively. He received an M.Sc. degree in mathematics and a Ph.D. degree in electrical engineering from the
Georgia Institute of Technology in 2001 and 2003, respectively. He is currently an associate professor and head of undergraduate affairs at the School of Electrical and Computer
Engineering at UNICAMP. His main research interest is in
digital signal processing, especially its application to communication systems and to seismic data analysis.
João Marcos Travassos Romano (jmtromano@decom.fee
.unicamp.br) received his B.S. and M.S. degrees in electrical
engineering from the University of Campinas (UNICAMP),
Brazil, in 1981 and 1984, respectively. He received his Ph.D.
degree from the University of Paris-Orsay, France, in 1987.
From 2000 to 2004, he was the president of the Brazilian
Communications Society. He is currently a full professor and the
director of the School of Electrical and Computer Engineering
at UNICAMP. His research interests concern signal processing
theory and methods, especially adaptive filtering, blind deconvolution, and source separation, with applications in different
problems such as telecommunications, geophysics, etc.
[6] E. A. Robinson, "Predictive decomposition of time series with applications to
seismic exploration," Ph.D. dissertation, Massachusetts Inst. Technol., Cambridge,
MA, 1954.
[7] D. L. Donoho, On Minimum Entropy Deconvolution. New York: Academic, pp.
656-608, 1981.
[8] O. Shalvi and E. Weinstein, "New criteria for blind deconvolution of nonminimun phase systems (channels)," IEEE Trans. Inform. Theory, vol. 36, no. 2, pp.
312-321, 1990.
[9] A. Larue, J. I. Mars, and C. Jutten, "Frequency-domain blind deconvolution
based on mutual information rate," IEEE Trans. Signal Processing, vol. 54, no. 5,
pp. 1771-1781, 2006.
[10] K. Nose-Filho, C. Jutten, and J. M. T. Romano, "Sparse blind deconvolution
based on scale invariant smoothed , 0 -norm," in Proc. European Signal Processing
Conf., 2014, pp. 461-465.
[11] K. Nose-Filho and J. M. T. Romano, "On , p -norm sparse blind deconvolution," in Proc. IEEE Int. Workshop Machine Learning Signal Processing (MLSP),
2014, pp. 1-6.
[12] L. Tong, G. Xu, and T. Kailath, "A new approach to blind identification and
equalization of multipath channels," in Proc. 25th Asilomar Conf. Signals Systems
and Computers, 1991, vol. 2, pp. 856-860.
[13] G. Xu, H. Liu, L. Tong, and T. Kailath, "A least-squares approach to blind
channel identification," IEEE Trans. Signal Processing, vol. 43, no. 12, pp. 2982-
2993, 1995.
[14] M. I. Gürelli and C. L. Nikias, "Evam: An eigenvector-based algorithm for
multichannel blind deconvolution of input colored signals," IEEE Trans. Signal
Processing, vol. 43, no. 1, pp. 134-149, 1995.
[15] E. Rietsch, "Euclid and the art of wavelet estimation. Part I: Basic algorithm for
noise-free data," Geophysics, vol. 62, no. 6, pp. 1931-1938, 1997.
[16] E. Rietsch, "Euclid and the art of wavelet estimation. Part II: Robust algorithm
and field-data examples," Geophysics, vol. 62, no. 6, pp. 1939-1946, 1997.
[17] K. Abed-Meraim, P. Loubaton, and E. Moulines, "A subspace algorithm for
certain blind identification problems," IEEE Trans. Inform. Theory, vol. 43, no. 2,
pp. 499-511, 1997.
[18] P. Mazzucchelli and U. Spagnolini, "Least squares multichannel deconvolution,
Proc. European Association Geoscientists Engineers, 2001, pp. 1-4.
[19] A. A. Royer, M. G. Bostock, and E. Haber, "Blind deconvolution of seismograms regularized via minimum support," Inverse Probl., vol. 28, no. 12, pp. 1-17,
2012.
[20] M. Ma, S. Wang, S. Yuan, J. Wang, and J. Wen, "Multichannel spatially correlated reflectivity inversion using block sparse Bayesian learning," Geophysics, vol.
82, no. 4, pp. V191-V199, 2017.
[21] K. Nose-Filho, A. K. Takahata, R. Lopes, and J. M. T. Romano, "A fast algorithm for sparse multichannel blind deconvolution," Geophysics, vol. 81, no. 1, pp.
v7-v16, 2016.
[22] A. M. Bruckstein, D. L. Donoho, and M. Elad, "From sparse solutions of systems of equations to sparse modeling of signals and images," SIAM Rev., vol. 51, no.
1, pp. 34-81, 2009.
[23] M. Q. Pham, L. Duval, C. Chaux, and J.-C. Pesquet, "A primal-dual proximal
algorithm for sparse template-based adaptive filtering: Application to seismic multiple removal," IEEE Trans. Signal Processing, vol. 62, no. 16, pp. 4256-4269, 2014.
[24] R. Hartley and A. Zisserman, Multiple View in Geometry Computer Vision.
Cambridge, U.K.: Cambridge Univ. Press, 2003.
[25] P. J. Huber and E. M. Ronchetti, Robust Statistics, 2nd ed. New York: Wiley,
2009.
[26] A. Repetti, M. Q. Pham, L. Duval, E. Chouzenoux, and J.-C. Pesquet, "Euclid
in a taxicab: Sparse blind deconvolution with smoothed l1/l2 regularization," IEEE
Signal Processing Lett., vol. 22, no. 5, pp. 539-543, 2015.
[27] J. Claerbout and F. Muir, "Robust modeling with erratic data," Geophysics,
vol. 38, no. 5, pp. 826-844, 1973.
References
[1] N. Kazemi and M. D. Sacchi, "Sparse multichannel blind deconvolution,"
Geophysics, vol. 79, no. 5, pp. v143-v152, 2014.
[28] N. Hurley and S. Rickard, "Comparing measures of sparsity," IEEE Trans.
Inform. Theory, vol. 55, no. 10, pp. 4723-4741, 2009.
[2] A. Malehmir, R. Durrheim, G. Bellefleur, M. Urosevic, C. Juhlin, D. J. White,
B. Milkereit, and G. Campbell, "Seismic methods in mineral exploration and mine
planning: A general overview of past and present case histories and a look into the
future," Geophysics, vol. 77, no. 5, pp. WC173-WC190, 2012.
[29] K. P. Bube and R. T. Langan, "Hybrid l 1 /l 2 minimization with applications to
tomography," Geophysics, vol. 62, no. 4, pp. 1183-1185, 1997.
[3] R. E. Sheriff and L. P. Geldart, Exploratory Seismology. Cambridge, U.K.:
Cambridge Univ. Press, 1995.
[4] R. A. Wiggins, "Minimum entropy deconvolution," Geoexploration, vol. 16, no.
1-2, pp. 21-35, 1978.
[5] J. M. T. Romano, R. Attux, C. C. Cavalcante, and R. Suyama, Unsupervised
Signal Processing: Channel Equalization and Source Separation. Boca Raton, FL:
CRC, 2011.
50
[30] Y. Li, Y. Zhang, and J. Claerbout, "Geophysical applications of a novel and
robust l1 solver," in Proc. Society Exploration Geophysicists Annu. Meeting,
2010, pp. 3519-3523.
[31] S. Chlaily, P.-O. Amblard, O. Michel, and C. Jutten, "Impact of noise correlation
on multimodality," in Proc. European Signal Processing Conf., 2016, pp. 195-199.
[32] J. D. Gibbons and S. Chakraborti, Nonparametric Statistical Inference.
London: Chapman & Hall, 2010.
IEEE Signal Processing Magazine
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Table of Contents for the Digital Edition of IEEE Signal Processing - March 2018
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