[1] [1] SUN Y K. Medical image processing techniques based on optical coherence tomography and their applications［J］. Opt. Precision Eng., 2014, 22(4): 1086-1104. (in Chinese)

[2] [2] CHEN M H, JIA W Y, HE J T, et al.. Development of swept source based on dual filtering［J］. Opt. Precision Eng., 2018, 26(10): 2355-2362. (in Chinese)

[3] [3] KANG J U, LIU X. Compressive SD-OCT: the application of compressed sensing in spectral domain optical coherence tomography［J］. Optics Express, 2010, 18(21): 22010-22019.

[4] [4] DONOHO D L. Compressed sensing［J］. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306.

[5] [5] CANDES E J. Stable signal recovery from incomplete and inaccurate measurements［J］. Comm. on Pure and Applied Math, 2006, 59(8): 1207-1223.

[6] [6] CANDES E, ROMBERG J. Sparsity and incoherence in compressive sampling［J］. Inverse Problems, 2007, 23(3): 969-985.

[7] [7] 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(2): 489-509.

[8] [8] WANG H Q, SONG L H, CAO M H, et al.. Compressed sensing detection of optical spatial modulation signal in turbulent channel［J］. Opt. Precision Eng., 2018, 26(11): 2669-2674. (in Chinese)

[9] [9] REN Y M, ZHANG Y N, LI Y. Advances and perspective on compressed sensing and application on image processing［J］. Acta Automatica Sinica, 2014, 40(8): 1563-1575. (in Chinese)

[10] [10] WEI Y, LU Z, YUAN G, et al.. Sparsity adaptive matching pursuit detection algorithm based on compressed sensing for radar signals［J］. Sensors, 2017, 17(5): 1120.

[11] [11] CHEN X M, WANG J SH, WANG W, et al.. Two-dimensional reconstruction and three-dimensional visualization of MRI images based on compressed sensing［J］. Chinese Journal of Medical Imaging, 2015, 23(3): 235-240. (in Chinese)

[12] [12] MA X W. Improvement of OMP image reconstruction algorithm based on compressed sensing［J］. Electronic Science＆Technology, 2015, 8(4): 51-58.

[13] [13] SHI H S. An improved orthogonal matching pursuit algorithm for image reconstruction［J］. Microcomputer Applications, 2017, 33(10): 19-21. (in Chinese)

[14] [14] QU L, AN S, YANG T, et al.. Group sparse basis pursuit denoising reconstruction algorithm for polarimetric through-the-wall radar imaging［J］. International Journal of Antennas and Propagation, 2018(2018): 1-8.

[15] [15] ZHENG W Z, HE J, WEI X, et al.. Image compressive sensing reconstruction based on contourlet transform［J］. Computer Engineering, 2012, 38(12):194-196.

[16] [16] XIE K, HE Z, CICHOCKI A, et al.. Rate of convergence of the FOCUSS algorithm［J］. IEEE Transactions on Neural Networks & Learning Systems, 2016, 28(6): 1276-1289.

[17] [17] PENG C, CAO Z, CHEN Z, et al.. Off-Grid DOA estimation using sparse Bayesian learning in MIMO radar with unknown mutual coupling［J］. IEEE Transactions on Signal Processing, 2019, 67(1): 208-220.

[18] [18] GORODNITSKY I F, RAO B D. Sparse signal reconstruction from limited data using FOCUSS: a re-weighted minimum norm algorithm［J］. IEEE Transactions on Signal Processing, 1997, 45(3): 00-616.

[19] [19] SRINIVASAN P P, KIM L A, METTU P S, et al.. Fully automated detection of diabetic macular edema and dry age-related macular degeneration from optical coherence tomography images［J］. Biomedical Optics Express, 2014, 5(10): 3568.