. Ventosa, SNR = 311 dB(c) and our method, SNR = 1677 dB (d); output adapted multiples with (Ventosa et al., 2012), SNR = 3.1 dB (e) and our method, SNR = 15, p.77, 2012.

N. Measures-for-the-case-of, quasi-norm " at the top left, ? 1 -norm at the top right, ? 1/2 -quasi-norm at the bottom left and ? 1 /? 2 -function at the bottom right, p.112

-. Top, Input blurry image; top-right: original blur; middle-left: deblurred with Overall algorithm 8 (SNR = 20.97 dB) middle-right: deblurred with SOOT 2 algorithm 9 (SNR = 22.80 dB); bottom-left: estimated blur with Overall algorithm 8 and bottom-right: estimated blur with SOOT 2 algorithm 9, p.125

-. Top, Input blurry image; top-right: original blur; middle-left: deblurred with Overall algorithm 8 (SNR = 1520 dB); middle-right: deblurred with SOOT 2 algorithm 9 (SNR = 16.06 dB); bottom-left: estimated blur with Overall algorithm 8 and bottom-right: estimated blur with SOOT 2 algorithm 9, p.126

. Left, Observed signal z (black; ? = 0.01), original ¯ y (blue); Right: Estimated signaî y (magenta), original signal ¯ y (blue). D is the intersection of two hyperplanes defined from the identity and the sign functions, p.132

. From, Observed image z (with Lena's head inclusion), original image y and estimated imagê y with the M+LFBF algorithm 5 (on the left are the full versions and on the right are their zoomed versions) 138 List of Tables

R. Abma, N. Kabir, K. H. Matson, S. Michell, S. A. Shaw et al., Comparisons of adaptive subtraction methods for multiple attenuation. The Leading Edge, pp.277-280, 2005.

M. V. Afonso, J. M. Bioucas-dias, and M. A. Figueiredo, An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems, IEEE Transactions on Image Processing, vol.20, issue.3, pp.681-695, 2011.
DOI : 10.1109/TIP.2010.2076294

A. Ahmed, B. Recht, and J. Romberg, Blind Deconvolution Using Convex Programming, IEEE Transactions on Information Theory, vol.60, issue.3, pp.1711-1732, 2014.
DOI : 10.1109/TIT.2013.2294644

I. Ahmed, 2D wavelet transform???domain adaptive subtraction for enhancing 3D SRME, SEG Technical Program Expanded Abstracts 2007, pp.2490-2494, 2007.
DOI : 10.1190/1.2792984

M. A. Alghamdi, A. Alotaibi, P. L. Combettes, and N. Shahzad, A primal-dual method of partial inverses for composite inclusions, Optimization Letters, vol.38, issue.8, pp.2271-2284, 2014.
DOI : 10.1007/s11590-014-0734-x
URL : https://hal.archives-ouvertes.fr/hal-01158985

M. Allain, J. Idier, and Y. Goussard, On global and local convergence of half-quadratic algorithms, IEEE Transactions on Image Processing, vol.15, issue.5, pp.1130-1142, 2006.
DOI : 10.1109/TIP.2005.864173
URL : https://hal.archives-ouvertes.fr/hal-00400663

F. Andersson and A. A. Duchkov, Extended structure tensors for multiple directionality estimation, Geophysical Prospecting, vol.37, issue.4, pp.611135-1149, 2013.
DOI : 10.1111/1365-2478.12067

H. Attouch and J. Bolte, Proximal Alternating Minimization and Projection Methods for Nonconvex Problems: An Approach Based on the Kurdyka-??ojasiewicz Inequality, Mathematics of Operations Research, vol.35, issue.2, pp.438-457, 2010.
DOI : 10.1287/moor.1100.0449

H. Attouch, J. Bolte, and B. F. Svaiter, Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward???backward splitting, and regularized Gauss???Seidel methods, Mathematical Programming, vol.31, issue.1, pp.91-129, 2013.
DOI : 10.1007/s10107-011-0484-9
URL : https://hal.archives-ouvertes.fr/inria-00636457

J. Aujol, G. Aubert, and L. Blanc-féraud, Wavelet-based level set evolution for classification of textured images, IEEE Transactions on Image Processing, vol.12, issue.12, pp.1634-1641, 2003.
DOI : 10.1109/TIP.2003.819309
URL : https://hal.archives-ouvertes.fr/hal-00202004

B. Barak, J. Kelner, and D. Steurer, Rounding sum-of-squares relaxations, Proceedings of the 46th Annual ACM Symposium on Theory of Computing, STOC '14, 2014.
DOI : 10.1145/2591796.2591886

A. E. Barnes, Theory of 2-D complex seismic trace analysis, GEOPHYSICS, vol.61, issue.1, pp.264-272, 1996.
DOI : 10.1190/1.1443947

A. Baumstein and M. T. Hadidi, 3D surface-related multiple elimination: Data reconstruction and application to field data, GEOPHYSICS, vol.71, issue.3, pp.71-96, 2006.
DOI : 10.1190/1.2194515

H. H. Bauschke and P. L. Combettes, Convex analysis and monotone operator theory in Hilbert spaces. CMS books in mathematics, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00643354

C. J. Beasley, B. Dragoset, and A. Salama, A 3D simultaneous source field test processed using alternating projections: a new active separation method, Geophysical Prospecting, vol.22, issue.4, pp.591-601, 2012.
DOI : 10.1111/j.1365-2478.2011.01038.x

A. Beck and M. Teboulle, A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems, SIAM Journal on Imaging Sciences, vol.2, issue.1, pp.183-202, 2009.
DOI : 10.1137/080716542

A. Benichoux, E. Vincent, and R. Gribonval, A fundamental pitfall in blind deconvolution with sparse and shift-invariant priors, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.6108-6112, 2013.
DOI : 10.1109/ICASSP.2013.6638838
URL : https://hal.archives-ouvertes.fr/hal-00800770

A. J. Berkhout and D. J. Verschuur, Focal transformation, an imaging concept for signal restoration and noise removal, GEOPHYSICS, vol.71, issue.6, pp.71-55, 2006.
DOI : 10.1190/1.2356996

E. Bierstone and P. D. Milman, Semianalytic and subanalytic sets, Publications math??matiques de l'IH??S, vol.41, issue.2, pp.5-42, 1988.
DOI : 10.1007/BF02699126

J. Bioucas-dias and M. Figueiredo, A New TwIST: Two-Step Iterative Shrinkage/Thresholding Algorithms for Image Restoration, IEEE Transactions on Image Processing, vol.16, issue.12, pp.2992-3004, 2007.
DOI : 10.1109/TIP.2007.909319

P. Bois and C. Hémon, ETUDE STATISTIQUE DE LA CONTRIBUTION DES MULTIPLES AUX SISMOGRAMMES SYNTHETIQUES ET REELS*, Geophysical Prospecting, vol.11, issue.4, pp.313-349, 1963.
DOI : 10.1190/1.1438159

J. Bolte, P. L. Combettes, and J. Pesquet, Alternating proximal algorithm for blind image recovery, 2010 IEEE International Conference on Image Processing, pp.1673-1676, 2010.
DOI : 10.1109/ICIP.2010.5652173
URL : https://hal.archives-ouvertes.fr/hal-00844115

J. Bolte, A. Daniilidis, and A. Lewis, The ??ojasiewicz Inequality for Nonsmooth Subanalytic Functions with Applications to Subgradient Dynamical Systems, SIAM Journal on Optimization, vol.17, issue.4, pp.1205-1223, 2007.
DOI : 10.1137/050644641

J. Bolte, S. Sabach, and M. Teboulle, Proximal alternating linearized minimization for nonconvex and nonsmooth problems, Mathematical Programming, vol.4, issue.1-2, pp.459-494, 2014.
DOI : 10.1007/s10107-013-0701-9
URL : https://hal.archives-ouvertes.fr/hal-00916090

B. Arias, L. M. Combettes, and P. L. , A Monotone+Skew Splitting Model for Composite Monotone Inclusions in Duality, SIAM Journal on Optimization, vol.21, issue.4, pp.1230-1250, 2011.
DOI : 10.1137/10081602X
URL : https://hal.archives-ouvertes.fr/hal-00643797

J. Brittan, T. Martin, M. Bekara, and K. Koch, 3D shallow water demultiple ? extending the concept, First Break, vol.29, issue.9, pp.97-101, 2011.

B. Buttkus, HOMOMORPHIC FILTERING - THEORY AND PRACTICE*, Geophysical Prospecting, vol.466, issue.2, pp.712-748, 1975.
DOI : 10.1190/1.1440003

J. Cai, E. J. Candès, and Z. Shen, A Singular Value Thresholding Algorithm for Matrix Completion, SIAM Journal on Optimization, vol.20, issue.4, pp.1956-1982, 2010.
DOI : 10.1137/080738970

P. Campisi and K. Egiazarian, Blind Image Deconvolution: Theory and Applications, 2007.
DOI : 10.1201/9781420007299

E. J. Candès, X. Li, Y. Ma, W. , and J. , Robust principal component analysis?, Journal of the ACM, vol.58, issue.3, pp.1-37, 2011.
DOI : 10.1145/1970392.1970395

L. Chaâri, N. Pustelnik, C. Chaux, and J. Pesquet, Solving inverse problems with overcomplete transforms and convex optimization techniques, Wavelets XIII, 2009.
DOI : 10.1117/12.826110

A. Chambolle and T. Pock, A First-Order Primal-Dual Algorithm for Convex Problems with??Applications to Imaging, Journal of Mathematical Imaging and Vision, vol.60, issue.5, pp.120-145, 2011.
DOI : 10.1007/s10851-010-0251-1
URL : https://hal.archives-ouvertes.fr/hal-00490826

C. Chaux and L. Blanc-féraud, Wavelet-based hyperparameter estimation for solving inverse problems, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00668807

C. Chaux, P. L. Combettes, J. Pesquet, and V. R. Wajs, A variational formulation for frame-based inverse problems, Inverse Problems, vol.23, issue.4, pp.1495-1518, 2007.
DOI : 10.1088/0266-5611/23/4/008
URL : https://hal.archives-ouvertes.fr/hal-00621883

C. Chaux, L. Duval, A. Benazza-benyahia, and J. Pesquet, A Nonlinear Stein-Based Estimator for Multichannel Image Denoising, IEEE Transactions on Signal Processing, vol.56, issue.8, pp.563855-3870, 2008.
DOI : 10.1109/TSP.2008.921757
URL : https://hal.archives-ouvertes.fr/hal-00617318

C. Chaux, L. Duval, and J. Pesquet, Image analysis using a dual-tree M-band wavelet transform, IEEE Transactions on Image Processing, vol.15, issue.8, pp.2397-2412, 2006.
DOI : 10.1109/TIP.2006.875178
URL : https://hal.archives-ouvertes.fr/hal-00621948

C. Chaux, J. Pesquet, and L. Duval, 2D Dual-Tree Complex Biorthogonal M-Band Wavelet Transform, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07, pp.845-848, 2007.
DOI : 10.1109/ICASSP.2007.366812
URL : https://hal.archives-ouvertes.fr/hal-00621884

C. Chaux, J. Pesquet, and L. Duval, Noise covariance properties in dualtree wavelet decompositions, IEEE Trans. Inform. Theory, issue.12, pp.534680-4700, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00617268

G. H. Chen and R. T. Rockafellar, Convergence Rates in Forward--Backward Splitting, SIAM Journal on Optimization, vol.7, issue.2, pp.421-444, 1997.
DOI : 10.1137/S1052623495290179

K. Chen and M. D. Sacchi, Robust reduced-rank filtering for erratic seismic noise attenuation, GEOPHYSICS, vol.80, issue.1, pp.1-11, 2014.
DOI : 10.1190/geo2014-0116.1

E. Chouzenoux, J. Idier, and S. Moussaoui, A Majorize–Minimize Strategy for Subspace Optimization Applied to Image Restoration, IEEE Transactions on Image Processing, vol.20, issue.6, pp.1517-1528, 2011.
DOI : 10.1109/TIP.2010.2103083

E. Chouzenoux, J. Pesquet, and A. Repetti, A block coordinate variable metric forward???backward algorithm, Journal of Global Optimization, vol.6, issue.3, 2013.
DOI : 10.1007/s10898-016-0405-9
URL : https://hal.archives-ouvertes.fr/hal-00945918

E. Chouzenoux, J. Pesquet, and A. Repetti, Variable Metric Forward???Backward Algorithm for Minimizing the Sum of a Differentiable Function and a Convex Function, Journal of Optimization Theory and Applications, vol.21, issue.2, pp.107-132, 2014.
DOI : 10.1007/s10957-013-0465-7
URL : https://hal.archives-ouvertes.fr/hal-00789970

J. F. Claerbout, Parsimonious deconvolution, p.13, 1977.
DOI : 10.1111/1365-2478.12213
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.693.3840

J. F. Claerbout and F. Muir, ROBUST MODELING WITH ERRATIC DATA, GEOPHYSICS, vol.38, issue.5, pp.826-844, 1973.
DOI : 10.1190/1.1440378

P. L. Combettes, L. Condat, J. Pesquet, and B. C. Vu, A forward-backward view of some primal-dual optimization methods in image recovery, 2014 IEEE International Conference on Image Processing (ICIP), 2014.
DOI : 10.1109/ICIP.2014.7025841
URL : https://hal.archives-ouvertes.fr/hal-01098038

P. L. Combettes and J. Pesquet, WAVELET-CONSTRAINED IMAGE RESTORATION, International Journal of Wavelets, Multiresolution and Information Processing, vol.02, issue.04, pp.371-389, 2004.
DOI : 10.1142/S0219691304000688
URL : https://hal.archives-ouvertes.fr/hal-00017834

P. L. Combettes and J. Pesquet, A Douglas???Rachford Splitting Approach to Nonsmooth Convex Variational Signal Recovery, IEEE Journal of Selected Topics in Signal Processing, vol.1, issue.4, pp.564-574, 2007.
DOI : 10.1109/JSTSP.2007.910264
URL : https://hal.archives-ouvertes.fr/hal-00621820

P. L. Combettes and J. Pesquet, Proximal Thresholding Algorithm for Minimization over Orthonormal Bases, SIAM Journal on Optimization, vol.18, issue.4, pp.1351-1376, 2007.
DOI : 10.1137/060669498
URL : https://hal.archives-ouvertes.fr/hal-00621819

P. L. Combettes and J. Pesquet, A proximal decomposition method for solving convex variational inverse problems, Inverse Problems, vol.24, issue.6, p.27, 2008.
DOI : 10.1088/0266-5611/24/6/065014
URL : https://hal.archives-ouvertes.fr/hal-00692901

P. L. Combettes, J. Pesquet, H. H. Bauschke, R. Burachik, P. L. Combettes et al., Proximal Splitting Methods in Signal Processing, Fixed-point algorithms for inverse problems in science and engineering, pp.185-212, 2011.
DOI : 10.1007/978-1-4419-9569-8_10
URL : https://hal.archives-ouvertes.fr/hal-00643807

P. L. Combettes and J. Pesquet, Primal-dual splitting algorithm for solving inclusions with mixtures of composite, Lipschitzian, and parallel-sum type monotone operators. Set-Valued Var, Anal, vol.20, issue.2, pp.307-330, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00794044

P. L. Combettes and B. C. V?uv?u, Variable metric quasi-Fej??r monotonicity, Nonlinear Analysis: Theory, Methods & Applications, vol.78, pp.17-31, 2013.
DOI : 10.1016/j.na.2012.09.008

P. L. Combettes and V. R. Wajs, Signal Recovery by Proximal Forward-Backward Splitting, Multiscale Modeling & Simulation, vol.4, issue.4, pp.1168-1200, 2005.
DOI : 10.1137/050626090
URL : https://hal.archives-ouvertes.fr/hal-00017649

P. Comon, Contrasts for multichannel blind deconvolution, IEEE Signal Processing Letters, vol.3, issue.7, pp.209-211, 1996.
DOI : 10.1109/97.508167

L. Condat, A Primal???Dual Splitting Method for Convex Optimization Involving Lipschitzian, Proximable and Linear Composite Terms, Journal of Optimization Theory and Applications, vol.23, issue.1???2, pp.460-479, 2013.
DOI : 10.1007/s10957-012-0245-9
URL : https://hal.archives-ouvertes.fr/hal-00609728

S. Costagliola, P. Mazzucchelli, and N. Bienati, Hybrid Norm Adaptive Subtraction for Multiple Removal, 73rd EAGE Conference and Exhibition incorporating SPE EUROPEC 2011, 2011.
DOI : 10.3997/2214-4609.20149531

S. Costagliola, P. Mazzucchelli, and N. Bienati, Matched Filtering with Orthogonal Constraints, 74th EAGE Conference and Exhibition incorporating EUROPEC 2012, 2012.
DOI : 10.3997/2214-4609.20148352

F. Cucker and S. Smale, Best Choices for Regularization Parameters in Learning Theory: On the Bias???Variance Problem, Foundations of Computational Mathematics, vol.2, issue.4, pp.413-428, 2002.
DOI : 10.1007/s102080010030

C. A. Da-costa-filho, Applications of independent component analysis to the attenuation of multiple reflections in seismic data, 2013.

Y. H. Dai and Y. Yuan, A Nonlinear Conjugate Gradient Method with a Strong Global Convergence Property, SIAM Journal on Optimization, vol.10, issue.1, pp.177-182, 1999.
DOI : 10.1137/S1052623497318992

M. V. De-hoop, H. Smith, G. Uhlmann, and R. D. Van-der-hilst, Seismic imaging with the generalized Radon transform: a curvelet transform perspective, Inverse Problems, vol.25, issue.2, p.25005, 2009.
DOI : 10.1088/0266-5611/25/2/025005

P. Deift and X. Zhou, A Steepest Descent Method for Oscillatory Riemann--Hilbert Problems. Asymptotics for the MKdV Equation, The Annals of Mathematics, vol.137, issue.2, pp.295-368, 1993.
DOI : 10.2307/2946540

L. Demanet and P. Hand, Scaling law for recovering the sparsest element in a subspace, Information and Inference, vol.3, issue.4, pp.295-309, 2015.
DOI : 10.1093/imaiai/iau007

D. Donno, Improving multiple removal using least-squares dip filters and independent component analysis, GEOPHYSICS, vol.76, issue.5, pp.91-104, 2011.
DOI : 10.1190/geo2010-0332.1
URL : https://hal.archives-ouvertes.fr/hal-00648839

D. Donno, H. Chauris, and M. Noble, Curvelet-based multiple prediction, GEOPHYSICS, vol.75, issue.6, pp.75-255, 2010.
DOI : 10.1190/1.3502663
URL : https://hal.archives-ouvertes.fr/hal-00551721

D. L. Donoho, I. M. Johnstone, G. Kerkyacharian, and D. Picard, Wavelet shrinkage: Asymptopia?, J. R. Stat. Soc. Ser. B Stat. Methodol, vol.57, issue.2, pp.301-369, 1995.

L. T. Duarte, E. Z. Nadalin, K. N. Filho, R. A. Zanetti, J. M. Romano et al., Seismic wave separation by means of robust principal component analysis, 2012.

J. Eckstein and D. P. Bertsekas, On the Douglas???Rachford splitting method and the proximal point algorithm for maximal monotone operators, Mathematical Programming, vol.29, issue.1, pp.1-3293, 1992.
DOI : 10.1007/BF01581204

R. Essenreiter, M. Karrenbach, and S. Treitel, Multiple reflection attenuation in seismic data using backpropagation, IEEE Transactions on Signal Processing, vol.46, issue.7, pp.2001-2011, 1998.
DOI : 10.1109/78.700971

E. Esser, Y. Lou, and J. And-xin, A Method for Finding Structured Sparse Solutions to Nonnegative Least Squares Problems with Applications, SIAM Journal on Imaging Sciences, vol.6, issue.4, pp.2010-2046, 2013.
DOI : 10.1137/13090540X

R. Fergus, B. Singh, A. Hertzmann, S. T. Roweis, F. et al., Removing camera shake from a single photograph, Proc. ACM SIGGRAPH Comput. Graph, pp.787-794, 2006.

G. D. Finlayson, S. D. Hordley, C. Lu, and M. S. Drew, On the removal of shadows from images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.1, pp.59-68, 2006.
DOI : 10.1109/TPAMI.2006.18

J. E. Fowler, The redundant discrete wavelet transform and additive noise, IEEE Signal Processing Letters, vol.12, issue.9, pp.629-632, 2005.
DOI : 10.1109/LSP.2005.853048

D. Geman and G. Reynolds, Constrained restoration and the recovery of discontinuities, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.14, issue.3, pp.367-383, 1992.
DOI : 10.1109/34.120331

G. H. Golub and C. F. Van-loan, Matrix Computations, 1996.

D. Gragnaniello, C. Chaux, J. Pesquet, and L. Duval, A convex variational approach for multiple removal in seismic data, Proc. Eur. Sig. Image Proc. Conf, pp.215-219, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00825814

E. Grave, G. Obozinski, and F. Bach, Trace Lasso: a trace norm regularization for correlated designs, Proc. Ann. Conf. Neur. Inform. Proc. Syst, pp.2187-2195, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00620197

W. C. Gray, Variable norm deconvolution, 1978.

W. C. Gray, A theory for variable norm deconvolution, 1979.

A. Guitton and W. Symes, Robust inversion of seismic data using the Huber norm, GEOPHYSICS, vol.68, issue.4, pp.1310-1319, 2003.
DOI : 10.1190/1.1598124

A. Guitton and D. J. Verschuur, Adaptive subtraction of multiples using the L1-norm, Geophysical Prospecting, vol.22, issue.1, pp.27-38, 2004.
DOI : 10.1190/1.1444727

D. Hampson, Inverse velocity stacking for multiple elimination, SEG Technical Program Expanded Abstracts 1986, pp.44-55, 1986.
DOI : 10.1190/1.1893060

F. J. Herrmann and D. J. Verschuur, Curvelet imaging and processing: adaptive multiple elimination, Proc. CSEG Nat. Conv, 2004.

F. J. Herrmann and D. J. Verschuur, Robust curvelet-domain primary-multiple separation with sparseness constraints, Proc. EAGE Conf. Tech. Exhib, 2005.

K. B. Hill, A seismic oil and gas primer, 2014.

J. Hiriart-urruty and C. Lemaréchal, Convex Analysis and Minimization Algorithms, 1993.
DOI : 10.1007/978-3-662-02796-7

P. Hoyer, Non-negative matrix factorization with sparseness constraints, J. Mach. Learn. Res, vol.5, pp.1457-1469, 2004.

S. Huo and Y. Wang, Improving adaptive subtraction in seismic multiple attenuation, GEOPHYSICS, vol.74, issue.4, pp.59-67, 2009.
DOI : 10.1190/1.3122408

N. Hurley and S. Rickard, Comparing measures of sparsity, IEEE Trans. Inform. Theory, issue.10, pp.554723-4741, 2009.

M. W. Jacobson and J. A. Fessler, An Expanded Theoretical Treatment of Iteration-Dependent Majorize-Minimize Algorithms, IEEE Transactions on Image Processing, vol.16, issue.10, pp.2411-2422, 2007.
DOI : 10.1109/TIP.2007.904387

L. Jacques, L. Duval, C. Chaux, and G. Peyré, A panorama on multiscale geometric representations, intertwining spatial, directional and frequency selectivity, Signal Processing, vol.91, issue.12, pp.912699-2730, 2011.
DOI : 10.1016/j.sigpro.2011.04.025
URL : https://hal.archives-ouvertes.fr/hal-00588381

H. Ji, J. Li, Z. Shen, W. , and K. , Image deconvolution using a characterization of sharp images in wavelet domain, Applied and Computational Harmonic Analysis, vol.32, issue.2, pp.295-304, 2012.
DOI : 10.1016/j.acha.2011.09.006

J. H. Joo, Acoustic echo cancellation techniques for far-end telephony speech recognition in barge-in situations, Contemporary Engineering Sciences, vol.7, issue.22, pp.1113-1120, 2014.
DOI : 10.12988/ces.2014.49139

K. F. Kaaresen and T. Taxt, Multichannel blind deconvolution of seismic signals, GEOPHYSICS, vol.63, issue.6, pp.2093-2107, 1998.
DOI : 10.1190/1.1444503

S. I. Kabanikhin, Definitions and examples of inverse and ill-posed problems, Journal of Inverse and Ill-posed Problems, vol.16, issue.4, pp.317-357, 2008.
DOI : 10.1515/JIIP.2008.019

A. Kaplan and R. Tichatschke, Proximal point methods and nonconvex optimization, Journal of Global Optimization, vol.13, issue.4, pp.389-406, 1998.
DOI : 10.1023/A:1008321423879

S. T. Kaplan and K. A. Innanen, Adaptive separation of free-surface multiples through independent component analysis, GEOPHYSICS, vol.73, issue.3, pp.29-36, 2008.
DOI : 10.1190/1.2890407

H. Karsli, D. Dondurur, C. , and G. , Application of complex-trace analysis to seismic data for random-noise suppression and temporal resolution improvement, GEOPHYSICS, vol.71, issue.3, pp.71-79, 2006.
DOI : 10.1190/1.2196875

M. Kato, I. Yamada, and K. Sakaniwa, A set-theoretic blind image deconvolution based on hybrid steepest descent method, IEICE Trans. Fund. Electron. Comm. Comput. Sci, issue.8, pp.82-1443, 1999.

N. Komodakis and J. Pesquet, Playing with Duality: An overview of recent primal?dual approaches for solving large-scale optimization problems, IEEE Signal Processing Magazine, vol.32, issue.6, 2014.
DOI : 10.1109/MSP.2014.2377273
URL : https://hal.archives-ouvertes.fr/hal-01246610

M. Kowalski, Sparse regression using mixed norms, Applied and Computational Harmonic Analysis, vol.27, issue.3, pp.303-324, 2009.
DOI : 10.1016/j.acha.2009.05.006
URL : https://hal.archives-ouvertes.fr/hal-00202904

N. Kreimer, A. Stanton, and M. D. Sacchi, Tensor completion based on nuclear norm minimization for 5D seismic data reconstruction, GEOPHYSICS, vol.78, issue.6, pp.78-273, 2013.
DOI : 10.1190/geo2013-0022.1

H. Krim and J. Pesquet, Multiresolution analysis of a class of nonstationary processes, IEEE Transactions on Information Theory, vol.41, issue.4, pp.1010-1020, 1995.
DOI : 10.1109/18.391246

D. Krishnan, T. Tay, F. , and R. , Blind deconvolution using a normalized sparsity measure, CVPR 2011, pp.233-240, 2011.
DOI : 10.1109/CVPR.2011.5995521

D. Kundur and D. Hatzinakos, Blind image deconvolution, IEEE Signal Processing Magazine, vol.13, issue.3, pp.43-64, 1996.
DOI : 10.1109/79.489268

D. Kundur and D. Hatzinakos, Blind image deconvolution revisited, IEEE Signal Processing Magazine, vol.13, issue.6, pp.61-63, 1996.
DOI : 10.1109/79.543976

K. Lange, Numerical Analysis for Statisticians, 2010.
DOI : 10.1007/978-1-4419-5945-4

M. Lavergne, Méthodes sismiques. Publications de l'Institut français du pétrole, 1986.

L. Touzé, G. Nicolas, B. Mars, J. I. Lacoume, and J. , Matched Representations and Filters for Guided Waves, IEEE Transactions on Signal Processing, vol.57, issue.5, pp.1783-1795, 2009.
DOI : 10.1109/TSP.2009.2013907

Z. Li and W. Lu, Adaptive multiple subtraction based on 3D blind separation of convolved mixtures, GEOPHYSICS, vol.78, issue.6, pp.78-251, 2013.
DOI : 10.1190/geo2012-0455.1

D. Lin, J. Young, Y. Huang, and M. Hartmann, 3D SRME application in the Gulf of Mexico, Annual International Meeting, pp.1257-1260, 2004.

Y. Lin and D. D. Lee, Bayesian regularization and nonnegative deconvolution (brand) for acoustic echo cancellation, Proc. IEEE Workshop Appl. Signal Process . Audio Acoustics, 2005.

P. L. Lions and B. Mercier, Splitting Algorithms for the Sum of Two Nonlinear Operators, SIAM Journal on Numerical Analysis, vol.16, issue.6, pp.964-979, 1979.
DOI : 10.1137/0716071

K. Liu and W. H. Dragoset, Adaptive multiple separation based on information maximization, SEG Technical Program Expanded Abstracts 2012, pp.1-6, 2012.
DOI : 10.1190/segam2012-0321.1

K. Liu and W. H. Dragoset, Blind-source separation of seismic signals based on information maximization, GEOPHYSICS, vol.78, issue.4, pp.119-130, 2013.
DOI : 10.1190/geo2012-0136.1

W. Lu and L. Liu, Adaptive multiple subtraction based on constrained independent component analysis, GEOPHYSICS, vol.74, issue.1, pp.1-7, 2009.
DOI : 10.1190/1.3000600

Z. Q. Luo and P. Tseng, On the convergence of the coordinate descent method for convex differentiable minimization, Journal of Optimization Theory and Applications, vol.34, issue.B, pp.7-35, 1992.
DOI : 10.1007/BF00939948

J. Ma and G. Plonka, The Curvelet Transform, IEEE Signal Processing Magazine, vol.27, issue.2, pp.118-133, 2010.
DOI : 10.1109/MSP.2009.935453
URL : https://hal.archives-ouvertes.fr/hal-00557892

S. Mallat, A wavelet tour of signal processing: the sparse way, 2009.

J. Mars, J. Mari, J. Lacoume, and F. Glangeaud, Traitement du signal pour géologues et géophysiciens : Techniques avancées 3, 2004.

Y. Mei and Z. Zou, A Weighted Adaptive Subtraction for Two or More Multiple Models, SEG Technical Program Expanded Abstracts 2010, pp.3488-3492, 2010.
DOI : 10.1190/1.3513573

S. Moller and R. Heusdens, Objective Estimation of Speech Quality for Communication Systems, Proceedings of the IEEE, vol.101, issue.9, pp.1955-1967, 2013.
DOI : 10.1109/JPROC.2013.2241374

A. Moni, C. J. Bean, I. Lokmer, R. , and S. , Source Separation on Seismic Data: Application in a Geophysical Setting, IEEE Signal Processing Magazine, vol.29, issue.3, pp.16-28, 2012.
DOI : 10.1109/MSP.2012.2184229

E. Moreau and J. Pesquet, Generalized contrasts for multichannel blind deconvolution of linear systems, IEEE Signal Processing Letters, vol.4, issue.6, pp.182-183, 1997.
DOI : 10.1109/97.586043

J. J. Moreau, Proximit?? et dualit?? dans un espace hilbertien, Bulletin de la Société mathématique de France, vol.79, pp.273-299, 1965.
DOI : 10.24033/bsmf.1625

J. Morlet, Seismic tomorrow, interferometry and quantum mechanics, Annual International Meeting, 1975.

J. Morlet, G. Arens, E. Fourgeau, and D. Giard, Wave propagation and sampling theory???Part I: Complex signal and scattering in multilayered media, GEOPHYSICS, vol.47, issue.2, pp.47203-221, 1982.
DOI : 10.1190/1.1441328

M. Mørup, K. H. Madsen, and L. K. Hansen, Approximate L<inf>0</inf> constrained non-negative matrix and tensor factorization, 2008 IEEE International Symposium on Circuits and Systems, pp.1328-1331, 2008.
DOI : 10.1109/ISCAS.2008.4541671

M. I. Mossi, C. Yemdji, and N. Evans, Non-linear acoustic echo cancellation using online loudspeaker linearization, 2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), pp.97-100, 2011.
DOI : 10.1109/ASPAA.2011.6082311

A. K. Nandi, D. Mampel, and B. Roscher, Blind deconvolution of ultrasonic signals in nondestructive testing applications, IEEE Transactions on Signal Processing, vol.45, issue.5, pp.1382-1390, 1997.
DOI : 10.1109/78.575716

R. Neelamani, A. Baumstein, R. , and W. , Complex curvelet???based adaptive subtraction of several noise templates, SEG Technical Program Expanded Abstracts 2008, pp.3650-3655, 2008.
DOI : 10.1190/1.3064090

R. Neelamani, A. Baumstein, R. , and W. S. , Adaptive subtraction using complex-valued curvelet transforms, GEOPHYSICS, vol.75, issue.4, pp.51-60, 2010.
DOI : 10.1190/1.3453425

Y. Nesterov, Gradient methods for minimising composite functions, pp.125-161, 2013.

J. Nocedal and S. J. Wright, Numerical optimization, 2006.
DOI : 10.1007/b98874

E. J. Nowak and M. G. Imhof, Amplitude preservation of Radon-based multipleremoval filters, Geophysics, issue.5, pp.71-123, 2006.

L. Nuzzo and T. Quarta, and wavelet transforms, GEOPHYSICS, vol.69, issue.3, pp.789-802, 2004.
DOI : 10.1190/1.1759465

O. 'brien, M. S. Sinclair, A. N. Kramer, and S. M. , Recovery of a sparse spike time series by l 1 norm deconvolution, IEEE Trans. Signal Process, issue.12, pp.423353-3365, 1994.

O. S. Osman and E. A. Robinson, Seismic Source Signature Estimation and Measurement, Geophysics Reprint Series. Soc. Expl. Geophysicists, vol.18, 1996.

J. Pesquet, A. Benazza-benyahia, C. , and C. , A SURE Approach for Digital Signal/Image Deconvolution Problems, IEEE Transactions on Signal Processing, vol.57, issue.12, pp.4616-4632, 2009.
DOI : 10.1109/TSP.2009.2026077
URL : https://hal.archives-ouvertes.fr/hal-00621942

J. Pesquet, H. Krim, and H. Carfantan, Time-invariant orthonormal wavelet representations, IEEE Transactions on Signal Processing, vol.44, issue.8, pp.1964-1970, 1996.
DOI : 10.1109/78.533717

J. Pesquet and N. Pustelnik, A parallel inertial proximal optimization method, Pac. J. Optim, vol.8, issue.2, pp.273-305, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00790702

M. Q. Pham, C. Chaux, L. Duval, and J. Pesquet, Seismic multiple removal with a primal-dual proximal algorithm, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.2257-2261, 2013.
DOI : 10.1109/ICASSP.2013.6638056
URL : https://hal.archives-ouvertes.fr/hal-00825809

M. Q. Pham, C. Chaux, L. Duval, and J. Pesquet, A constrained-based optimization approach for seismic data recovery problems, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.2377-2381, 2014.
DOI : 10.1109/ICASSP.2014.6854025
URL : https://hal.archives-ouvertes.fr/hal-01278420

M. Q. Pham, L. Duval, C. Chaux, and J. Pesquet, A Primal-Dual Proximal Algorithm for Sparse Template-Based Adaptive Filtering: Application to Seismic Multiple Removal, IEEE Transactions on Signal Processing, vol.62, issue.16, pp.624256-4269, 2014.
DOI : 10.1109/TSP.2014.2331614
URL : https://hal.archives-ouvertes.fr/hal-00914628

A. Pica, Behaviour of prestack backus filters for multiple suppression, 54th EAEG Meeting, 1992.
DOI : 10.3997/2214-4609.201410502

A. Pica, G. Poulain, B. David, M. Magesan, S. Baldock et al., 3D surface-related multiple modeling. The Leading Edge Special section: Multiple attenuation, pp.292-296, 2005.

A. Pica, G. Poulain, B. David, M. Magesan, S. Baldock et al., 3D surface???related multiple modeling, principles and results, SEG Technical Program Expanded Abstracts 2005, pp.2080-2083, 2005.
DOI : 10.1190/1.2148121

T. Pokrovskaia and R. Wombell, Attenuation of residual multiples and coherent noise in the wavelet transform domain, Proc. EAGE Conf. Tech. Exhib, 2004.

N. Pustelnik, J. Pesquet, C. , and C. , Relaxing Tight Frame Condition in Parallel Proximal Methods for Signal Restoration, IEEE Transactions on Signal Processing, vol.60, issue.2, pp.968-973, 2012.
DOI : 10.1109/TSP.2011.2173684
URL : https://hal.archives-ouvertes.fr/hal-00692256

H. Raguet, J. Fadili, and G. Peyré, A Generalized Forward-Backward Splitting, SIAM Journal on Imaging Sciences, vol.6, issue.3, pp.1199-1226, 2013.
DOI : 10.1137/120872802
URL : https://hal.archives-ouvertes.fr/hal-00613637

R. A. Renaut, I. Hntynková, M. , and J. , Regularization parameter estimation for large-scale Tikhonov regularization using a priori information, Computational Statistics & Data Analysis, vol.54, issue.12, pp.3430-3445, 2010.
DOI : 10.1016/j.csda.2009.05.026

A. Repetti, E. Chouzenoux, and J. Pesquet, A penalized weighted least squares approach for restoring data corrupted with signal-dependent noise, Proc. Eur. Sig. Image Proc. Conf, pp.1553-1557, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00733786

A. Repetti, M. Q. Pham, L. Duval, E. Chouzenoux, and J. Pesquet, Euclid in a Taxicab: Sparse Blind Deconvolution with Smoothed <formula formulatype="inline"><tex Notation="TeX">${\ell _1}/{\ell _2}$</tex></formula> Regularization, IEEE Signal Processing Letters, vol.22, issue.5, pp.539-543, 2015.
DOI : 10.1109/LSP.2014.2362861

N. Ricker, THE FORM AND NATURE OF SEISMIC WAVES AND THE STRUCTURE OF SEISMOGRAMS, GEOPHYSICS, vol.5, issue.4, pp.348-366, 1940.
DOI : 10.1190/1.1441816

N. Ricker, Further developments in the wavelet theory of seismogram structure, Bull. Seismol. Soc. Amer, vol.33, issue.3, pp.197-228, 1943.

D. Ristow and B. Kosbahn, TIME-VARYING PREDICTION FILTERING BY MEANS OF UPDATING*, Geophysical Prospecting, vol.64, issue.6, pp.40-61, 1979.
DOI : 10.1190/1.1440003

S. J. Roberts, D. Husmeier, I. Rezek, and W. D. Penny, Bayesian approaches to Gaussian mixture modeling, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.11, pp.1133-1142, 1998.
DOI : 10.1109/34.730550

E. A. Robinson and S. Treitel, PRINCIPLES OF DIGITAL WIENER FILTERING*, Geophysical Prospecting, vol.70, issue.3, pp.311-332, 1967.
DOI : 10.1190/1.1438677

R. T. Rockafellar, Monotone Operators and the Proximal Point Algorithm, SIAM Journal on Control and Optimization, vol.14, issue.5, pp.877-898, 1976.
DOI : 10.1137/0314056

R. T. Rockafellar, R. J. Wets, and -. , Variational Analysis. Fundamental Principles of Mathematical Sciences, 2005.

L. I. Rudin, S. Osher, and E. Fatemi, Nonlinear total variation based noise removal algorithms, Physica D: Nonlinear Phenomena, vol.60, issue.1-4, pp.1-4259, 1992.
DOI : 10.1016/0167-2789(92)90242-F

H. Ryan, Ricker, Ormsby, Klauder, Butterwork ? a choice of wavelets, CSEG Recorder, pp.8-9, 1994.

M. D. Sacchi, Reweighting strategies in seismic deconvolution, Geophysical Journal International, vol.129, issue.3, pp.651-656, 1997.
DOI : 10.1111/j.1365-246X.1997.tb04500.x

M. D. Sacchi, D. R. Velis, and A. H. Cominguez, Minimum entropy deconvolution with frequency???domain constraints, GEOPHYSICS, vol.59, issue.6, pp.938-945, 1994.
DOI : 10.1190/1.1443653

N. Salaun, D. Hardouin, I. Huard, and J. Balanca, Adaptive subtractive methods for low frequency multiples on broadband data: A case study offshore West Africa (check subtractive), Proc. EAGE Conf. Tech. Exhib. European Assoc. Geoscientists Eng, 2015.

C. Sanchis and A. Hanssen, Multiple-input adaptive seismic noise canceller for the attenuation of nonstationary coherent noise, GEOPHYSICS, vol.76, issue.6, pp.76-115, 2011.
DOI : 10.1190/geo2010-0367.1

R. Sheriff, Encyclopedic Dictionary of Exploration Geophysics, 1973.

R. E. Sheriff, Geophysical Methods, 1989.

J. Song, E. Verschuur, C. , and X. , Comparing three feedback internal multiple elimination methods, Journal of Applied Geophysics, vol.95, issue.0, pp.9566-76, 2013.
DOI : 10.1016/j.jappgeo.2013.05.010

S. Sotthivirat and J. A. Fessler, Image recovery using partitioned-separable paraboloidal surrogate coordinate ascent algorithms, IEEE Transactions on Image Processing, vol.11, issue.3, pp.306-317, 2002.
DOI : 10.1109/83.988963

S. Spitz, G. Hampson, and A. Pica, Simultaneous Source Separation Using Wave Field Modeling and PEF Adaptive Subtraction, EAGE Marine Seismic Workshop: Focus on Middle East and North Africa 2009, 2009.
DOI : 10.3997/2214-4609.20146202

S. Sra, Nonconvex proximal splitting: batch and incremental algorithms, Max Planck Institute for Intelligent Systems, 2011.

A. K. Takahata, E. Z. Nadalin, R. Ferrari, L. T. Duarte, R. Suyama et al., Unsupervised Processing of Geophysical Signals: A Review of Some Key Aspects of Blind Deconvolution and Blind Source Separation, IEEE Signal Processing Magazine, vol.29, issue.4, pp.27-35, 2012.
DOI : 10.1109/MSP.2012.2189999

M. T. Taner, LONG PERIOD SEA-FLOOR MULTIPLES AND THEIR SUPPRESSION*, Geophysical Prospecting, vol.11, issue.1, pp.30-48, 1980.
DOI : 10.1190/1.1439542

M. T. Taner, R. F. O-'doherty, and F. Koehler, Long period multiple suppression by predictive deconvolution in the x-t domainl1, Geophysical Prospecting, vol.28, issue.4, pp.433-468, 1995.
DOI : 10.1190/1.1442434

M. F. Tappen, W. T. Freeman, and E. H. Adelson, Recovering intrinsic images from a single image, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.9, pp.1459-1472, 2005.
DOI : 10.1109/TPAMI.2005.185

A. N. Tikhonov and V. Y. Arsenin, Solutions of Ill-posed problems, 1977.

D. Trad, T. Ulrych, and M. Sacchi, Latest views of the sparse Radon transform, GEOPHYSICS, vol.68, issue.1, pp.386-399, 2003.
DOI : 10.1190/1.1543224

P. Tseng, A Modified Forward-Backward Splitting Method for Maximal Monotone Mappings, SIAM Journal on Control and Optimization, vol.38, issue.2, pp.431-446, 2000.
DOI : 10.1137/S0363012998338806

T. J. Ulrych and M. D. Sacchi, Information-Based Inversion and Processing with Applications, 2006.

B. C. V?uv?u, A splitting algorithm for dual monotone inclusions involving cocoercive operators, Adv. Comput. Math, vol.38, issue.3, pp.667-681, 2013.

R. Van-borselen, R. Baardman, T. Martin, B. Goswami, and E. Fromyr, An inversion approach to separating sources in marine simultaneous shooting acquisition - application to a Gulf of Mexico data set, Geophysical Prospecting, vol.55, issue.4, pp.640-647, 2012.
DOI : 10.1111/j.1365-2478.2012.01076.x

R. Van-borselen and M. Schonewille, 3D surface-related multiple elimination: acquisition and processing solutions. The Leading Edge, pp.260-268, 2005.

E. Van-den-berg and M. P. Friedlander, Probing the Pareto Frontier for Basis Pursuit Solutions, SIAM Journal on Scientific Computing, vol.31, issue.2, pp.890-912, 2008.
DOI : 10.1137/080714488

S. V. Vaseghi, Advanced digital signal processing and noise reduction, 2006.
DOI : 10.1002/0470094966
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.619.9585

S. Ventosa, L. Roy, S. Huard, I. Pica, A. Rabeson et al., Adaptive multiple subtraction with wavelet-based complex unary Wiener filters, GEOPHYSICS, vol.77, issue.6, pp.77-183, 2012.
DOI : 10.1190/geo2011-0318.1
URL : https://hal.archives-ouvertes.fr/hal-00617295

D. Verschuur and A. Berkhout, Adaptive surface???related multiple elimination, GEOPHYSICS, vol.57, issue.9, pp.1166-1177, 1992.
DOI : 10.1190/1.1443330

D. J. Verschuur, Seismic multiple removal techniques: past, present and future, 2006.

A. T. Walden, Non???Gaussian reflectivity, entropy, and deconvolution, GEOPHYSICS, vol.50, issue.12, pp.2862-2888, 1985.
DOI : 10.1190/1.1441905

A. T. Walden and J. W. Hosken, THE NATURE OF THE NON-GAUSSIANITY OF PRIMARY REFLECTION COEFFICIENTS AND ITS SIGNIFICANCE FOR DECONVOLUTION*, Geophysical Prospecting, vol.55, issue.7, pp.1038-1066, 1986.
DOI : 10.1016/0016-7142(78)90005-4

Y. Wang, Multiple subtraction using an expanded multichannel matching filter, GEOPHYSICS, vol.68, issue.1, pp.346-354, 2003.
DOI : 10.1190/1.1543220

A. B. Weglein, F. A. Gasparotto, P. M. Carvalho, and R. H. Stolt, An inversescattering series method for attenuating multiples in seismic reflection data, Geophysics, issue.6, pp.621975-1989, 1997.

A. B. Weglein, S. Hsu, P. Terenghi, X. Li, and R. H. Stolt, Multiple attenuation: Recent advances and the road ahead The Leading Edge, pp.30864-875, 2011.

Y. Weiss, Deriving intrinsic images from image sequences, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.68-75, 2001.
DOI : 10.1109/ICCV.2001.937606

T. Weisser, A. Pica, P. Herrmann, T. , and R. , Wave equation multiple modelling: acquisition independent 3D SRME. First Break, pp.75-79, 2006.

M. Wu and S. Wang, A case study of f ? k demultiple on 2D offshore seismic data. The Leading Edge, pp.446-450, 2011.

Y. Xu and W. Yin, A Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion, SIAM Journal on Imaging Sciences, vol.6, issue.3, pp.1758-1789, 2013.
DOI : 10.1137/120887795

¨. O. Yilmaz, Seismic data analysis: processing, inversion, and interpretation of seismic data, 2001.
DOI : 10.1190/1.9781560801580

Y. Li and D. P. , Sparse Long-Range Random Field and Its Application to Image Denoising, Proc. Eur. Conf. Comput. Vis, pp.344-357, 2008.
DOI : 10.1007/978-3-540-88690-7_26

Z. Zeng, T. Chan, K. Jia, and D. Xu, Finding Correspondence from Multiple Images via Sparse and Low-Rank Decomposition, Proc. Eur. Conf. Comput. Vis, pp.325-339, 2012.
DOI : 10.1007/978-3-642-33715-4_24

N. Zhang and Y. Wang, 2D/3D Seismic Multiple Attenuation in the Deep Water of South China Sea, 73rd EAGE Conference and Exhibition incorporating SPE EUROPEC 2011, 2011.
DOI : 10.3997/2214-4609.20149216

M. Zibulevsky and B. A. Pearlmutter, Blind Source Separation by Sparse Decomposition in a Signal Dictionary, Neural Computation, vol.1, issue.4, pp.863-882, 2001.
DOI : 10.1016/S0042-6989(97)00169-7

D. Zonoobi, A. A. Kassim, and Y. V. Venkatesh, Gini Index as Sparsity Measure for Signal Reconstruction from Compressive Samples, IEEE Journal of Selected Topics in Signal Processing, vol.5, issue.5, pp.927-932, 2011.
DOI : 10.1109/JSTSP.2011.2160711