[1] Li W, Preisig J C. Estimation of rapidly time-varying sparse channels[J]. IEEE Journal of Oceanic Engineering, 2007, 32(4): 927-939.
[2]
[6] Rao B D, Delgado K K. An affine scaling methodology for best basis selection[J]. IEEE Transactions on Signal Processing, 1999, 47(1): 187-200.
[3]
[7] Naylor P A, Cui J, Brookes M. Adaptive algorithms for sparse echo cancellation[J]. Signal Processing, 2006, 86(6): 1182-1192.
[4]
[8] Cotter S F, Rao B D. Sparse channel estimation via matching pursuit with application to equalization[J]. IEEE Transactions on Communications, 2002, 50(3): 374-377.
[11] Zeng W J, Xu W. Fast estimation of sparse doubly spread acoustic channels[J]. Journal of the Acoustical Society of America, 2012, 131(1): 303-317.
[8]
[12] Konstantinos P, Mandar C. New sparse adaptive algorithms based on the natural gradient and the l0-norm[J]. IEEE Journal of Oceanic Engineering, 2013, 38(2): 323-332.
[9]
[13] Gu Y, Jin Y, Mei S. l0 norm constraint LMS algorithm for sparse system identification[J]. IEEE Signal Processing Letters, 2009, 16(9): 774-777.
[10]
[14] Jin J, Gu Y, Mei S. A stochastic gradient approach on compressive sensing signal reconstruction based on adaptive filtering framework[J]. IEEE Journal of Selected Topics in Signal Processing, 2010, 4(2): 409-420.
[16] Su G, Jin J, Gu Y, et al. Performance analysis of l0 norm constraint least mean square algorithm[J]. IEEE Transactions on Signal Processing, 2012, 60(5): 2223-2235.
[13]
[17] Chen Y, Gu Y, Hero A O. Sparse LMS for system identification[C]∥IEEE International Conference on Acoustics, Speech and Signal Processing. Taibei,Taiwan: IEEE, 2009:3125-3128.
[14]
[18] Shi K, Shi P. Adaptive sparse Volterra system identification with l0-norm penalty[J]. Signal Processing, 2011, 91(10): 2432-2436.
[15]
[19] Shi K, Shi P. Convergence analysis of sparse LMS algorithms with l1-norm penalty based on white input signal[J]. Signal Processing, 2010, 90(12): 3289-3293.
[16]
[20] Wu F Y, Tong F. Gradient optimization p-norm-like constraint LMS algorithm for sparse system estimation[J]. Signal Processing, 2013, 93(4): 967-971.
[17]
[21] Wu F Y, Tong F. Non-uniform norm constraint LMS algorithm for sparse system identification[J]. IEEE Communications Letters, 2013, 17(2): 385-388.
[18]
[2] Stojanovic M. Retrofocusing techniques for high rate acoustic communications[J]. Journal of the Acoustical Society of America, 2005, 117(3): 1173-1185.
[19]
[3] Stojanovic M. Efficient processing of acoustic signals for high-rate information transmission over sparse underwater channels[J]. Physical Communication, 2008, 1(2): 146-161.
[20]
[4] Kalouptsidis N, Mileounis G, Babadi B, et al. Adaptive algorithms for sparse system identification[J]. Signal Processing, 2011, 91(8): 1910-1919.
[21]
[5] Angelosante D, Bazerque J A, Giannakis G B. Online adaptive estimation of sparse signals: where RLS meets the l1-norm[J]. IEEE Transactions on Signal Processing, 2010, 58(7): 3436-3447.
[22]
[22] Kostas S, Paolo C, Michele Z. The throughput of underwater networks: analysis and validation using a ray tracing simulator[J]. IEEE Transactions on Wireless Communications, 2013, 12(3): 1108-1117.