[1] E.S. EN, 302 304: Digital Video Broadcasting (DVB), Transmission system for handheld terminals (DVB-H), ETSI, (2004).
[2] J.S. Proakis, M. Nov, 6, 2007” Digital Communications, in, McGraw-Hill Education.
[3] A. Goldsmith, Wireless communications, Cambridge university press, 2005.
[4] T. ETSI, 102 428: Digital Audio Broadcasting (DAB), DMB video service, (2009).
[5] O. Edfors, M. Sandell, J.-J. Van de Beek, S.K. Wilson, P.O. Borjesson, OFDM channel estimation by singular value decomposition, IEEE Transactions on communications, 46(7) (1998) 931-939.
[6] S. Coleri, M. Ergen, A. Puri, A. Bahai, Channel estimation techniques based on pilot arrangement in OFDM systems, IEEE Transactions on broadcasting, 48(3) (2002) 223-229.
[7] H. Minn, V.K. Bhargava, An investigation into time-domain approach for OFDM channel estimation, IEEE Transactions on broadcasting, 46(4) (2000) 240-248.
[8] J.-J. Van De Beek, O. Edfors, M. Sandell, S.K. Wilson, P.O. Borjesson, On channel estimation in OFDM systems, in: Vehicular Technology Conference, 1995 IEEE 45th, IEEE, 1995, pp. 815-819.
[9] Y. Li, L.J. Cimini, N.R. Sollenberger, Robust channel estimation for OFDM systems with rapid dispersive fading channels, IEEE Transactions on communications, 46(7) (1998) 902-915.
[10] A. Petropulu, R. Zhang, R. Lin, Blind OFDM channel estimation through simple linear precoding, IEEE Transactions on Wireless Communications, 3(2) (2004) 647-655.
[11] J.K. Tugnait, L. Tong, Single-user channel estimation and equalization, IEEE Signal Processing Magazine, 17(3) (2000) 17-28.
[12] P. Hoeher, S. Kaiser, P. Robertson, Two-dimensional pilot-symbol-aided channel estimation by Wiener filtering, in: Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on, IEEE, 1997, pp. 1845-1848.
[13] P. Hoeher, S. Kaiser, P. Robertson, Pilot-symbol-aided channel estimation in time and frequency, Multi-carrier spread-spectrum, (1997) 169-178.
[14] M. Sandell, Design and analysis of estimators for multicarrier modulation and ultrasonic imaging, Luleå tekniska universitet, 1996.
[15] M. Necker, F. Sanzi, J. Speidel, An adaptive wiener-filter for improved channel estimation in mobile OFDM-systems, in: Proc. IEEE Intern. Symp. on Signal Proc. and Inf. Tech.(ISSPIT), 2001, pp. 213-216.
[16] X. Hou, S. Li, D. Liu, C. Yin, G. Yue, On two-dimensional adaptive channel estimation in OFDM systems, in: Vehicular Technology Conference, 2004. VTC2004-Fall. 2004 IEEE 60th, IEEE, 2004, pp. 498-502
[17] S. Haykin, B. Widrow, Least-mean-square adaptive filters, John Wiley & Sons, 2003.
[18] S. Haykin, B. Widrow, Least-mean-square adaptive filters, John Wiley & Sons, 2003.
[19] S. Haykin, B. Widrow, Least-mean-square adaptive filters, John Wiley & Sons, 2003.
[20] P. Pakrooh, A. Amini, F. Marvasti, OFDM pilot allocation for sparse channel estimation, EURASIP Journal on Advances in Signal Processing, 2012(1) (2012) 59.
[21] C. Qi, L. Wu, A study of deterministic pilot allocation for sparse channel estimation in OFDM systems, IEEE communications letters, 16(5) (2012) 742-744.
[22] F. Wan, W.-P. Zhu, M. Swamy, Semi-blind most significant tap detection for sparse channel estimation of OFDM systems, IEEE Transactions on Circuits and Systems I: Regular Papers, 57(3) (2010) 703-713.
[23] M. Elad, From Exact to Approximate Solutions, in: Sparse and Redundant Representations, Springer, 2010, pp. 79-109.
[24] E.J. Candes, J.K. Romberg, T. Tao, Stable signal recovery from incomplete and inaccurate measurements, Communications on pure and applied mathematics, 59(8) (2006) 1207-1223.
[25] S.G. Mallat, Z. Zhang, Matching pursuits with time-frequency dictionaries, IEEE Transactions on signal processing, 41(12) (1993) 3397-3415
[26] J.A. Tropp, Greed is good: Algorithmic results for sparse approximation, IEEE Transactions on Information theory, 50(10) (2004) 2231-2242.
[27] G.H. Mohimani, M. Babaie-Zadeh, C. Jutten, Fast sparse representation based on smoothed ℓ0 norm, in: International Conference on Independent Component Analysis and Signal Separation, Springer, 2007, pp. 389-396.
[28] M. Elad, Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing, Springer New York, 2011.
[29] Y. Nan, L. Zhang, X. Sun, An efficient downlink channel estimation approach for TDD massive MIMO systems, in: Vehicular Technology Conference (VTC Spring), 2016 IEEE 83rd, IEEE, 2016, pp. 1-5.
[30] I.F. Gorodnitsky, B.D. Rao, Sparse signal reconstruction from limited data using FOCUSS: A re-weighted minimum norm algorithm, IEEE Transactions on signal processing, 45(3) (1997) 600-616.
[31] S.S. Chen, D.L. Donoho, M.A. Saunders, Atomic decomposition by basis pursuit, SIAM review, 43(1) (2001) 129-159.
[32] J.O. Berger, Statistical Decision Theory and Bayesian Analysis, Springer, 1985.
[33] M. Unser, P.D. Tafti, An Introduction to Sparse Stochastic Processes, Cambridge University Press, 2014.
[34] A. Papoulis, Probability & Statistics, Prentice Hall, 1990.
[35] R. Tibshirani, Regression shrinkage and selection via the lasso, Journal of the Royal Statistical Society. Series B (Methodological), (1996) 267-288.
[36] M. Babaie-Zadeh, B. Mehrdad, G.B. Giannakis, Weighted sparse signal decomposition, in: Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on, IEEE, 2012, pp. 3425-3428.