[1] CANDÈS E,OMBERG J,TAO T. Robust uncertainty principles:exact signal recognition from highly incomplete frequency information[J]. IEEE Trans. Info. Theory,2006,52(2):489-509. [2] DONOHO D. Compressed sensing[J]. IEEE Trans. Info. Theory,2006,52(4):1289-1306. [3] CANSÈS E,TAO T. Near optimal signal recovery from random projections:universal encoding strategies?[J]. IEEE Trans. Info. Theory,2006,52(12):5406-5425. [4] ELAD M. Optimized projections for compressed sensing[J]. IEEE Trans. Signal Proc.,2007,55(12):5695-5702. [5] APPLEBAUM L,HOWARD S D,SEARLE S,et al.. Chirp sensing codes: deterministic compressed sensing measurements for fast recovery[J]. Appl. Comput, Harmon. Anal.,2009,26:283-290. [6] HERMAN M A,STROHMER T. General deviants: an analysis of perturbations in compressed sensing[J]. IEEE J. Selected Topics in Signal Proc.,2010,4(2):342-349. [7] MA J W. Compressed sensing by inverse scale space and curvelet thresholding[J]. Appl. Math. Comput.,2008,206:980-988. [8] CHRETIEN S. An alternating l1 approach to the compressed sensing problem[J]. IEEE Signal Proc. Lett.,2010,17(2):181-184. [9] CCANDÈS E,WAKIN M,BOYD S. Enhancing sparsity by reweighted l1 minimization[J]. J. Fourier Anal. Appl.,2008,14:877-905. [10] JIN J,GU Y,MEI S. A stochastic gradient approach on compressive sensing signal reconstruction based on adaptive filtering framework[J]. IEEE J. Selected Topics Signal Proc.,2010,4(2):409-420. [11] BLUMENSATH T,DAVIES M E. Iterative hard thresholding for compressed sensing[J]. Appl. Comput. Harmon. Anal.,2009,27:265-274. [12] RAUHNT H,SCHNASS K,VANDERGHEYNST P,et al.. Compressed sensing and redundant dictionaries[J]. IEEE Trans. Info. Theory,2008,54(5):2210-2219. [13] CANSÈS E J,ELDAR Y C,NEADELL D,et al.. Compressed sensing with coherent and redundant dictionaries[J]. Appl. Comput. Harmon. Anal.,2010,31(1):1-21. [14] DEYRE G. Best basis compressed sensing[J]. IEEE Trans. Signal Proc.,2010,58(5):2613-2622. [15] RAGINSKY M R,WILLETT R M,HARMANY I T,et al.. Compresed sensing performance bounds under poisson noise[J]. IEEE Trans. Signal Proc.,2010,58(8):3990-4002. [16] BARANIUK R G,CEVHER V,DUARTE M F,et al.. Model-based compressive sensing[J]. IEEE Trans. Info. Theory,2010,56(4):1982-2001. [17] HERMAN A,STROHMER T. High-resolution radar via compressed sensing[J]. IEEE Trans. Signal Proc.,2009,57(6):2275-2284. [18] EUDER H G. On compressive sensing applied to radar[J]. Signal Proc.,2010,90:1402-1414. [19] POTTER L C,ERTIN E,PARKER J T,et al.. Sparsity and compressed sensing in radar imaging[J]. Proc. IEEE,2010,98(6):1006-1020. [20] LUSTIG M,DONOHO D L,DANLY J M. Sparse MRI:the application of compressed sensing for rapid MR imaging[J]. Magn. Reson. Med.,2007,58:1182-1195. [21] LUSTIG M,DONOHO D L,SANTOS J M,et al.. Compressed sensing MRI[J]. IEEE Signal Proc Mag.,2008,3:72-82. [22] GAO D H,LIU D H,FENG Y Q,et al.. A robust image transmission scheme for wireless channels based on CS[J]. Lecture notes in Computer Science,2010,6216:334-341. [23] MAJUMDAR A,WARD K. Compressed sensing of color images[J]. Signal Proc.,2010,90:3122-3127. [24] HOLLAND D J,MALIOUTOV D M,BLAKE A,et al.. Reducing data acquisition times in phase-encoded velocity imaging using compressed sensing[J]. J. Magnetic Resonance,2010,203:236-246. [25] MAKALANOBIS A,MUISE R. Object specific image reconstruction using a compressive sensing architecture for application in surveillance systems[J]. IEEE Trans. Aerospace and Electronic Systems,2009,45(3):1167-1180. [26] GIACOBELLO D,CHRISTENSEN M G,MURTHI M,et al.. Retrieving sparse patterns using a compressed sensing framework:applications to speech coding based on sparse linear prediction[J]. IEEE Signal Proc. Lett.,2010,17(1):103-106. [27] MISHALI M,ELDAR Y C. Blind multiband signal reconstruction: compressed sensing for analog signals[J]. IEEE Trans. Signal Proc.,2009,57(3):993-1009. [28] BERGER C R,WANG ZH H,HUANG J ZH,et al.. Application of compressive sensing to sparse channel estimation[J]. IEEE. Commun. Mag.,2010,10:164-174. [29] CAND E J,ROMBERG J. Sparsity and incoherence in compressive sampling[J]. Inverse Problems,2007,23(3):969-985. [30] CAND S E,TAO T. Decoding by linear programming[J]. IEEE Trans. Info.Theory,2005,51(12):4203-4215. [31] HERRMANN F J,HENNENFENT G. Non-parametric seismic data recovery with curvelet frames[J]. Geophysical J. International,2008,173(1):233-248. [32] HERRMANN F J,WANG D L,HENNENFENT G,et al.. Curvelet based seismic data processing:a multiscale and nonlinear approach[J]. Geophysic,2008,73(1):A1. [33] DUARTE M F,DAVENPORT M A,TAKHAR D,et al.. Single-pixel imaging via compressive sampling[J]. IEEE Signal Proc. Mag.,2008,(3):83-91. [34] AKHAR D,LASKA J N,WAKIN M B,et al.. A new compressive imaging camera architecture using optical domain compression[J].SPIE,2006,6065:606509. [35] LUSTIG M,SANTOS J M,DONOHO D L,et al.. Kt SPARSE:High frame rate dynamic MRI exploiting spatiotemporal sparsity. Proceedings of the 14th Annual Meeting of ISMRM,Seattle,Washington,2006:2420 22443. [36] SMITH M I,HEATHER J P. A review of image fusion technology in 2005[J]. SPIE,2005,5782:29-45. [37] 蔡骋,张明,朱俊平. 基于压缩感知理论的杂草种子分类识别[J]. 中国科学:信息科学 ,2010,40(增):160-172. CAI CH,ZHANG M,ZHU J P. Weed seeds classification based on compressive sensing theory[J]. Science China Information Science,2010,40(s):160-172.(in Chinese) [38] LI H X,SHEN CH H. Robust real-time visual tracking with compressed sensing. Proc. of 2010 IEEE 17th International Conference on Image Processing,Hongkong,China,12-15 Sept.2010:45-48. [39] COSSALTER M,TAGLIASACCHI M,VALENZISF G. Privacy-enabled object tracking in video sequences using compressive sensing. Proc. of 2009 IEEE 6th International Conference on Advanced Video and Signal Based Surveillance,Genova,Italy,2-4 Sept,2009:436-441. [40] REDDY D,SANKARANARAYANAN A C,CEVHER V,et al.. Compressed sensing for multi-view tracking and 3-D voxel reconstruction. 2008,15th IEEE International Conference on Image Processing,San Diego,CA,2008:221-224.