[1] CANDES E J, 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.

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

[3] LASKA J N,KIROLOS S,DUARTE M F,et al. Theory and implementation of an analog-to-information converter random demodulation ［C］.Washington D C: IEEE, 2007.

[4] BARANIUK R, STEEGHS P. Compressive radar imaging ［C］. Washington D C: IEEE, 2007.

[5] LUSTIG M,DONOHO D,PAULY J M. Sparse MRI: the application of compressed sensing for rapid MR imaging［J］. Magnetic Resonance in Medicine, 2007, 58(6):1182-1195.

[6] BOBIN J,STARCK J L, OTTENSAMER R. Compressed sensing in astronomy ［J］. IEEE Journal of Selected Topics in Signal Processing, 2009 28(2): 609-618.

[7] MA J . Single-pixel remote sensing［J］. IEEE Geoscience and Remote Sensing Letters,2009,6(2):199-203.

[8] DUARTE M F, DAVENPORT M A,TAKHAR D, et al. Single-pixel imaging via compressive sampling［J］. IEEE Signal Processing Magazine, 2008, 25(2): 83-91.

[9] 石光明,刘丹华,高大化，等. 压缩感知理论及其研究进展［J］. 电子学报, 2009, 37(5): 1070-1081.

    SHI Guang-ming,LIU Dan-hua,GAO Da-hua,et al.Advances in theory and application of compressed sensing［J］. Acta Electronica Sinica, 2009,37(5): 1070-1081. (in Chinese with an English abstract)

[10] CANDES E J.The restricted isometry property and its implications for compressed sensing［J］．Academic Des Sciences，2006，346(I)：598-592．

[11] BARANIUK R. A lecture on compressive sensing［J］. IEEE Signal Processing Magazine, 2007,24(4): 118-121.

[12] CANDES E, TAO T. Decoding by linear programming［J］. IEEE Trans. On Information Theory, 2005, 51(12):4203-4215.

[13] CANDES E, ROMBERG J, TAO T. Stable signal recovery from incomplete and inaccurate measurements ［J］. Communications on Pure and Applied Mathematics, 2006, 59(8): 1207-1223.

[14] BAJWA W, HAUPT J, RAZ G, et al. Toeplitz-structured compressed sensing matrices［C］. Washington D C: IEEE, 2007.

[15] DONOHO D L. For most large underdetermined systems of linear equations, the minimal L1 norm solution is also the sparsest solution ［J］. Communications on Pure and Applied Mathematics, 2006, 59(6): 797-829.

[16] TROPP J, GILBERT A. Signal recovery from random measurements via orthogonal matching pursuit［J］. Transactions on Information Theory, 2007, 53(12): 4655-4666.

[17] HERRITY K, GILBERT A C, TROPP J A. Sparse approximation via iterative thresholding ［C］. Washington D C: IEEE, 2006.

[18] 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.

[19] PORTNOY A D, PITSIANIS N P, BRADY D J,et al. Thin digital imaging system using focal plane coding［J］. SPIE, 2006, 6065: 108-115.

[20] MARCIA R F, HARMANY Z T, WILLETT R M. Compressive coded aperture imaging［J］.SPIE, 2009, 7246:72460G-72460G-13.

[21] 刘吉英.压缩感知理论及在成像中的应用［D］.长沙：国防科技大学，2010.

    LIU Ji-ying, Theory of compressive sensing and its application in imaging ［D］. Changsha: Doctoral Dissertation of NUDT,2010. (in Chinese)

[22] MILOJKOVIC P,GILL J, FRATTIN D, et al.Multi-channel, agile, computationally enhanced camera based on the PANOPTES architecture［J］. SPIE, 2010, 7692:76921Z.

[23] WAGADARIKAR A,JOHN R, WILLETT R, et al. Single disperser design for coded aperture snapshot spectral imaging ［J］. Applied Optics, 2008, 47(10):B44-B51.

[24] GEHM M E , JOHN R , BRADY D J , et al. Single-shot compressive spectral imaging with a dual-disperser architecture ［J］. Opt. Express, 2007, 15(21): 14013-14027.

[25] ROBUCCI R,CHIU L K , HASLER P. Compressive sensing on a CMOS separable-transform image sensor ［J］. The Proceedings of IEEE, 2010, 98(6):1089-1101.