[1]S. Becker, J. Bobin, and E. Candès. NESTA: A fast and accurate first-order method for sparse recovery. SIAM Journal on Imaging Sciences, 4(1):1–39, 2011. doi:10.1137/090756855.
[2]E. J. Candès, J. K. Romberg, and T. Tao. Stable signal recovery from incomplete and inaccurate measurements. Communications on Pure and Applied Mathematics, 59(8):1207–1223, 2006.
[3]E. J. Candès, M. B. Wakin, and S. P. Boyd. Enhancing sparsity by reweighted ł1 minimization. Journal of Fourier Analysis and Applications, 14(5-6):877–905, 12 2008. doi:10.1007/s00041-008-9045-x.
[4]F. Delaglio, S. Grzesiek, G. W. Vuister, G. Zhu, J. Pfeifer, and A. Bax. NMRPipe: a multidimensional spectral processing system based on UNIX pipes. Journal of Biomolecular NMR, 6(3):277–93, 11 1995.
[5]H. Mohimani, M. Babaie-Zadeh, and C. Jutten. A fast approach for overcomplete sparse decomposition based on smoothed norm. IEEE Transactions on Signal Processing, 57(1):289–301, 2009.
[6]Y. Nesterov. Smooth minimization of non-smooth functions. Mathematical Programing, 103(1):127–152, 5 2005. doi:10.1007/s10107-004-0552-5.
[7]S. Sun, M. Gill, Y. Li, M. Huang, and R. A. Byrd. Efficient and generalized processing of multidimensional nus nmr data: the nesta algorithm and comparison of regularization terms. Journal of Biomolecular NMR, 62(1):105–117, 3 2015. doi:10.1007/s10858-015-9923-x.