[1] Donoho D L. Compressed sensing [J]. IEEE Trans Inf Theory, 2006, 52(4): 1289-1306.
[2] Candes E J, Tao T. Near-optimal signal recovery from random projections: universal encoding strategies [J]. IEEE Trans Inf Theory, 2006, 52(12): 5406-5425.
[3] Mallat S G, Zhang Z. Matching pursuits with time-frequency dictionaries [J]. IEEE Trans Sig Proc, 1993, 41(12): 3397-3415.
[4] Tropp J A, Gilbert A C. Signal recovery from random measurements via orthogonal matching pursuit [J]. IEEE Trans Inf Theory, 2007, 53(12): 4655-4666.
[5] Dai W, Milenkovic O. Subspace pursuit for compressive sensing signal reconstruction [J]. IEEE Trans Inf Theory, 2009, 55(5): 2230-2249.
[6] Neira L R, Lowe D. Optimized orthogonal matching pursuit approach [J]. IEEE Sig Proc Lett, 2002, 9(4): 137-140.
[7] Andrle M, Neira L R, Sagianos E. Backward-optimized orthogonal matching pursuit approach [J]. IEEE Sig Proc Lett, 2004, 11(9): 705-708.
[8] Qi C H, Wu L N. Sparse recovery algorithms for pilot assisted MIMO OFDM channel estimation [J]. IEICE Trans Commun, 2010, E93-B(5):1313-1316.
[9] Cotter S F, Rao B D. Sparse Channel estimation via matching pursuit with application to equalization [J]. IEEE Trans Commun, 2002, 50(3): 374-377.
[10] Sharp M, Scaglione A. Application of sparse signal recovery to pilot-assisted channel estimation [C]//IEEE International Conference on Acoustics, Speech, and Signal Processing. Las Vegas, NV, USA, 2008: 5296-5299.
[11] European Telecommunication Standards Institute. ETSI ES 201 980 v2.2.1. Digital radio mondiale(DRM)system specification [S]. European Telecommunication Standards Institute, 2005.
[12] Tropp J A. Greed is good: algorithmic results for sparse approximation [J]. IEEE Trans Inf Theory, 2004, 50(10): 2231-2242.
[13] Donoho D L, Elad M, Temlyakov V N. Stable recovery of sparse overcomplete representations in the presence of noise [J]. IEEE Trans Inf Theory, 2006, 52(1): 6-18.