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J. Candes, J. Romberg, and T. Tao, \"Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information,\" IEEE Trans. Inf. Theory, vol. 52, no. 2, pp. 489\u2013509, Feb. 2006.","DOI":"10.1109\/TIT.2005.862083"},{"key":"ref1","doi-asserted-by":"crossref","unstructured":"[2] D. L. Donoho, \"Compressed sensing,\" IEEE Trans. Inf. Theory, vol. 52, no. 4, pp. 1289\u20131306, Apr. 2006.","DOI":"10.1109\/TIT.2006.871582"},{"key":"ref2","doi-asserted-by":"crossref","unstructured":"[3] A. M. Bruckstein, D. L. Donoho, and M. Elad, \"From sparse solutions of systems of equations to sparse modeling of signals and images,\" SIAM Rev., vol. 51, no. 1, pp. 34\u201381, 2009.","DOI":"10.1137\/060657704"},{"key":"ref3","doi-asserted-by":"crossref","unstructured":"[4] T. T. Cai and A. Zhang, \"Sharp RIP bound for sparse signal and low-rank matrix recovery,\" Appl. Comput. Harmon. Anal., vol. 35, no. 1, pp. 74\u201393, Jul. 2013.","DOI":"10.1016\/j.acha.2012.07.010"},{"key":"ref4","doi-asserted-by":"crossref","unstructured":"[5] M. E. Davies and R. Gribonval, \"Restricted isometry constants where lp sparse recovery can fail for 0<p\u22641,\" IEEE Trans. Inf. Theory, vol. 55, no. 5, pp. 2203\u20132214, May 2009.","DOI":"10.1109\/TIT.2009.2016030"},{"key":"ref5","doi-asserted-by":"crossref","unstructured":"[6] D. L. Donoho and M. Elad, \"Optimally sparse representation in general (nonorthogonal) dictionaries via l1 minimization,\" Proc. Natl. Acad. Sci., vol. 100, no. 5, pp. 2197\u20132202, 2003.","DOI":"10.1073\/pnas.0437847100"},{"key":"ref6","doi-asserted-by":"crossref","unstructured":"[7] M. Elad and A. M. Bruckstein, \"A generalized uncertainty principle and sparse representation in pairs of bases,\" IEEE Trans. Inf. Theory, vol. 48, no. 9, pp. 2558\u20132567, Sep. 2002.","DOI":"10.1109\/TIT.2002.801410"},{"key":"ref7","doi-asserted-by":"crossref","unstructured":"[8] S. Foucart, \"A note on guaranteed sparse recovery via l1-minimization,\" Appl. Comput. Harmon. Anal., vol. 29, no. 1, pp. 97\u2013103, Jul. 2010.","DOI":"10.1016\/j.acha.2009.10.004"},{"key":"ref8","doi-asserted-by":"crossref","unstructured":"[9] \"Sparse recovery algorithms: Sufficient conditions in terms of restricted isometry constants,\" in Approximation Theory XIII: San Antonio 2010, ser. Springer Proceedings in Mathematics, M. Neamtu and L. Schumaker, Eds., New York, NY: Springer, 2012, vol. 13, pp. 65\u201377.","DOI":"10.1007\/978-1-4614-0772-0_5"},{"key":"ref9","doi-asserted-by":"crossref","unstructured":"[10] R. Gribonval and M. Nielsen, \"Sparse representations in unions of bases,\" IEEE Trans. Inf. Theory, vol. 49, no. 12, pp. 3320\u20133325, Dec. 2003.","DOI":"10.1109\/TIT.2003.820031"},{"key":"ref10","doi-asserted-by":"crossref","unstructured":"[11] R. Gribonval, M. Nielsen, R. Gribonval, et al., \"Highly sparse representations from dictionaries are unique and independent of the sparseness measure,\" Appl. Comput. Harmon. Anal., vol. 22, no. 3, pp. 335\u2013355, May 2007.","DOI":"10.1016\/j.acha.2006.09.003"},{"key":"ref11","doi-asserted-by":"crossref","unstructured":"[12] K. Gedalyahu and Y. C. Eldar, \"Time-Delay estimation from lowrate samples: A union of subspaces approach,\" IEEE Trans. Signal Processing, vol. 58, no. 6, pp. 3017\u20133031, Jun. 2010.","DOI":"10.1109\/TSP.2010.2044253"},{"key":"ref12","doi-asserted-by":"crossref","unstructured":"[13] R. Wu and D. R. Chen, \"The improved bounds of restricted isometry constant for recovery via lp-minimization,\" IEEE Trans. Inf. Theory, vol. 59, no. 9, pp. 6142\u20136147, Sep. 2013.","DOI":"10.1109\/TIT.2013.2262495"},{"key":"ref13","unstructured":"[14] A. Aldroubi, X. Chen, and A. Powell, \"Stability and robustness of lq minimization using null space property,\" in Proc. 10th Int. Conf. Sampl. Theory Appl., Singapore, May 2011."},{"key":"ref14","doi-asserted-by":"crossref","unstructured":"[15] X. Chen, F. Xu, and Y. Ye, \"Lower bound theory of nonzero entries in solutions of l2-lp minimization,\" SIAM J. Sci. Comput., vol. 32, no. 5, pp. 2832\u20132852, 2010.","DOI":"10.1137\/090761471"},{"key":"ref15","doi-asserted-by":"crossref","unstructured":"[16] D. L. Donoho, Y. Tsaig, I. Drori, and J. L. Starck, \"Sparse solution of underdetermined linear equations by stagewise orthogonal matching pursuit,\" IEEE Transactions on Information Theory, vol. 58, no. 2, pp. 1094-1121, 2012.","DOI":"10.1109\/TIT.2011.2173241"},{"key":"ref16","doi-asserted-by":"crossref","unstructured":"[17] D. Needell and D. Vershynin, \"Uniform uncertainty principle and signal recovery via regularized orthogonal matching pursuit,\" Foundations of Computational Mathematics, vol. 9, no. 3, pp. 317-334, 2009.","DOI":"10.1007\/s10208-008-9031-3"},{"key":"ref17","doi-asserted-by":"crossref","unstructured":"[18] W. Dai and O. Milenkovic, \"Subspace pursuit for compressive sensing signa J reconstruction,\" in Proc. 5th International Symposium on Turbo Codes and Related Topics, Lausanne, Switzerland, 2008, pp. 402-407.","DOI":"10.1109\/TURBOCODING.2008.4658733"},{"key":"ref18","unstructured":"[19] D. Needell and J. A. Tropp \"CoSaMP: Iterative signal recovery from incomplete and inaccurate samples,\" ACM Technical Report 2008-01, California Institute of Technology, Pasadena, July 2008."},{"key":"ref19","unstructured":"[20] T. T. Do, G. Lu, Nguyen, and Tran D. \"Sparsity adaptive matching pursuit algorithm for practical compressed sensing,\" in Proc. Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, 2008, vol. 10, pp. 581-587."},{"key":"ref20","doi-asserted-by":"crossref","unstructured":"[21] D. Lao, M. W. Lenox, and G. Akabani, \"The sparsity-promoted solution to the undersampling tof-pet imaging: Numerical simulations,\" Progress in Electromagnetics Research, vol. 133, 235\u2013258, 2013.","DOI":"10.2528\/PIER12080711"},{"key":"ref21","doi-asserted-by":"crossref","unstructured":"[22] Z. Liu, X. Wei, and X. Li, \"Adaptive clutter suppression for airborne random pulse repetition interval radar based on compressed sensing,\" Progress in Electromagnetics Research, vol. 128, pp. 291\u2013311, 2012.","DOI":"10.2528\/PIER12022001"},{"key":"ref22","doi-asserted-by":"crossref","unstructured":"[23] S. J. Wei, X. L. Zhang, J. Shi, and G. Xiang, \"Sparse reconstruction for SAR imaging based on compressed sensing,\" Progress in Electromagnetics Research, vol. 109, 63\u201381, 2010.","DOI":"10.2528\/PIER10080805"},{"key":"ref23","doi-asserted-by":"crossref","unstructured":"[24] R. Chartrand, \"Fast algorithms for nonconvex compressive sensing: MRI reconstruction from very few data,\" in Proc. IEEE Int. Symp. Biomed. Imaging, Boston, Jun. 2009.","DOI":"10.1109\/ISBI.2009.5193034"},{"key":"ref24","doi-asserted-by":"crossref","unstructured":"[25] M. Rossi, A. M. Haimovich, and Y. C. Eldar, \"Spatial compressive sensing for MIMO radar,\" IEEE Transactions on Signal Processing, vol. 62, no. 2, pp. 419-430, 2014.","DOI":"10.1109\/TSP.2013.2289875"},{"key":"ref25","doi-asserted-by":"crossref","unstructured":"[26] Y. Gu, N. A. Goodman, and A. Ashok, \"Radar target profiling and recognition based on TSI-Optimized compressive sensing kernel,\" IEEE Transactions on Signal Processing, vol. 62, no. 12, pp. 3194 -3207, 2014.","DOI":"10.1109\/TSP.2014.2323022"},{"key":"ref26","doi-asserted-by":"crossref","unstructured":"[27] S. K. Mishra, R. Gupta, A. Vaidya, and J. Mukherjee, \"Printed fork shaped dual band monopole antenna for bluetooth and UWB applications with 5.5GHz WLAN band notched characteristics,\" Progress in Electromagnetics Research C., vol. 22, pp. 195-210, 2011.","DOI":"10.2528\/PIERC11053006"},{"key":"ref27","doi-asserted-by":"crossref","unstructured":"[28] M. Zhang, Y. W. Zhao, H. Chen, and W. Q. Jiang, \"SAR image simulation for composite model of ship on dynamic ocean scene,\" Progress in Electromagnetics Research, vol. 113, pp. 395\u2013412, 2011.","DOI":"10.2528\/PIER10121102"}],"container-title":["Journal of Communications"],"original-title":[],"link":[{"URL":"http:\/\/www.jocm.us\/uploadfile\/2016\/0421\/20160421041530242.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,4]],"date-time":"2025-06-04T13:04:38Z","timestamp":1749042278000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.jocm.us\/index.php?m=content&c=index&a=show&catid=160&id=968"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"references-count":28,"URL":"https:\/\/doi.org\/10.12720\/jcm.11.4.402-410","relation":{},"ISSN":["2374-4367"],"issn-type":[{"value":"2374-4367","type":"print"}],"subject":[],"published":{"date-parts":[[2016]]}}}