Beck, A. and Teboulle, M., 2009, A fast iterative sherinkage-thresholding algorithm for linear inverse problems, SIAM Journal on Imaging Sciences, 2(1), 183-202.
Claerbout, J. F., 1992, Earth soundings analysis: processing versus inversion, Blackwell scientific publications.
Combettes, P. L. and Wajs, V. R., 2005, Signal recovery by proximal forward-backward splitting, Multiscale Modeling and Simulation, 4(4), 1168-1200.
Dai, W., 2012, Multisource least-squares reverse time migration: Ph.D. thesis, King Abdullah University of Science and Technology.
Daubechies, I., Defriese, M. and De Mol, C., 2004, An iterative thresholding algorithm for linear inverse problems with a sparsity constraint, Communications on Pure and Applied Mathematics, 57(11), 1413–1457.
Daubechies, I., DeVore, R., Fornasier, M. and Gunturk, S., 2010, Iteratively re-weighted least squares minimization for sparse recovery, Communications on Pure and Applied Mathematics, 63(1), 1–38.
Figueiredo, M. A. T., Nowak, R. D. and Wright, S. J., 2007, Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems, IEEE Journal of selected topics In Signal Processing, 1(4), 586-597.
Gholami, A. and Sacchi, M. D., 2013, Fast 3D blind seismic deconvolution via constrained total variation and GCV, SIAM Journal on Imaging Sciences, 6(4), 2350-2369.
Gholami A., 2017, Deconvolutive Radon transform, Geophysics, 82(2), V117-V125.
Goldstein, T., and Osher, S., 2009, The split bregman method for l1 regularized problems, SIAM Journal on Imaging Science, 2(2), 323-343.
Gray, S. H., Etgen, J., Dellinger, J. and Whitmore, D., 2001, Seismic migration problems and solutions, Geophysics, 66(5), 1622-1640.
Ji, J. 1997, Least squares imaging, datuming, and interpolation using the wave equation, Stanford Exploration Project, 75, 121-135.
Kühl, H. and Sacchi, M. D., 2003, Least-squares wave equation migration for AVP/AVA inversion, Geophysics, 68, 262–273.
Keys, R. and Foster, D., 1998, Comparison of seismic inversion methods on a single real data set: Society of Exploration Geophysics.
Lari, H. H. and Gholami, A., 2014, Curvelet-TV regularized Bregman iteration for seismic random noise attenuation, Journal of Applied Geophysics, 109(1), 233-241.
Loewenthal, D., Lu, L., Roberson, R. and Sherwood, J.W.C., 1976, The wave equation applied to migration, Geophysics Prospecting, 24, 380-399.
Luo, S. and Hale, D., 2014, Least-squares migration in the presence of velocity errors, Geophysics, 79(4), 153-161.
Miller, D., Oristaglio, M. and Beylkin, G., 1987, A new slant on seismic imaging: migration and integral geometry, Geophysics, 52, 943-964.
Nemeth, T., Wu, C. and Schuster, G. T., 1999, Least-squares migration of incomplete reflection data, Geophysics, 64, 208-221.
Osher, S., Burger, M., Goldfarb, D., Xu, J. and Yin, W., 2005, An iterative regularization method for total variation-based image restoration, Multiscale Modeling and Simulation, 4, 460-489.
Østmo, S., Plessix, R.E., 2002, Finite-difference iterative migration by linearized waveform inversion in the frequency domain, 72nd Annual International Meeting, Society of Exploration Geophysics, Expanded Abstracts, 1384–1387.
Plessix, R. E. and Mulder, W. A., 2004, Frequency-domain finite-difference amplitude-preserving migration, Geophysical Journal International, 157, 975–987.
Schuster, G. T., 2017, Seismic Inversion, SEG.
Tarantola, A., 1984, Inversion of seismic reflection data in the acoustic approximation, Geophysics, 49, 1259-1266.
Yilmaz, O., 2001, Seismic data analysis: processing, inversion, and interpretation of seismic data, Society of Exploration Geophysics.
Yousefzadeh, A., 2012, High resolution seismic imaging using least squares migration, Ph.D. thesis, Calgary, Alberta.
Zand, T. and Gholami, A., 2018, Total-variation based velocity inversion with Bregmanized operator splitting algorithm, Journal of Applied Geophysics, 151, 1-10.
Zhang, X., Burger, M., Bresson, X. and Osher, S., 2010, Bregmanized nonlocal regularization for deconvolution and sparse reconstruction, SIAM Journal on Imaging Sciences, 3(3), 253-276.