(Jiao L C, Yang S Y, Liu F, et al. Developement and prospect of compressive sensing[J]. Acta Electronica Sinica, 2011, 39(7): 1651-1662.)
[9]
Herrmann F J, Hennenfent G. Non-parametric seismic data recovery with curvelet frames[J]. Int J of Geophysical, 2008, 173(1): 233-248.
[10]
Duarte M F, Davenport M A, Takhar D, et al. Singlepixel imaging via compressive sampling[J]. IEEE Signal Processing Magazine, 2008, 25(2): 83-91.
[11]
Wright J, Yang J A, Ganesh A, et al. Robust face recognition via sparse representation[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 2009, 31(2): 210-227.
(Song X C, Jiao L C. Classification of hyperspectral remote sensing image based on sparse representation and spectral information[J]. J of Electronics & Information Technology, 2012, 34(2): 268-273.)
(Zhu F, Zhang Q, Bai Y Q, et al. A novel reconstruction method based on genetic algorithm in CS theory and its application in SAR HRRP reconstruction[J]. Control and Decision, 2012, 27(11): 1669-1675.)
[24]
Candes E, Romberg J, Tao T. Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information[J]. IEEE Trans on Information Theory, 2006, 52(4): 489-509.
[25]
Baraniuk R. Compressive sensing[J]. IEEE Signal Processing Magazine, 2007, 24(4): 118-121.
[26]
Candes E, Tao T. Decoding by linear programming[J]. IEEE Trans on Information Theory, 2005, 51(12): 4203-4215.
[27]
Tropp J, Gilbert A C. Signal recovery from random measurements via orthogonal matching pursuit[J]. IEEE Trans on Information Theory, 2007, 53(12): 4655-4666.
[28]
Donoho D, Tsaig Y. Extensions of compressed sensing[J]. Signal Processing, 2006, 86(3): 533-548.
[29]
Tropp J A. Greed is good: Algorithmic results for sparse approximation[J]. IEEE Trans on Information Theory, 2004, 50(10): 2231-2242.
[30]
Donoho D, Ysaig Y. Fast solution of l1-norm minimization problems when the solution may be sparse[R]. Palo Alto: Stanford University, 2008.
[31]
Figueiredo M A T, Nowak R D, Wright S J. Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problem[J]. J of Selected Topics in Signal Processing, 2007, 1(4): 586-598.
[32]
Shen G, Kim W S, Ortega A, et al. Edge-aware intra prediction for depth-map coding[C]. Proc of the 17th Int Conf on Image Processing. Hong Kong, 2010: 3393-3396.
[33]
Shuman D I, Narang S K, Frossard P, et al. The emerging field of signal processing on graphs: Extending highdimension data analysis to networks and other irregular domains[J]. IEEE Signal Processing Magazine, 2013, 30(3): 83-98.
[34]
Li P, Hastie T J, Church K W. Very sparse random projections[C]. Proc of the 12th ACM Int Conf on Knowledge Discovery & Data mining. New York, 2006: 287-296.
[35]
Achlioptas D. Data-friendly random projections: Johnson-Lindenstrauss with binary coins[J]. J of Computer & System Sciences, 2003, 66(4): 671-687.
(Cen Y G, Chen X F, Cen L H, et al. Compressed sensing based on the single layer wavelet transform for image processing[J]. J of Communications, 2010, 31(8A): 52-55.)
[40]
Hsu C W, Lin C J. A comparison of methods for multiclass support vector machines[J]. IEEE Trans on Neural Network, 2002, 13(2): 415-425.
