{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T18:09:39Z","timestamp":1772302179687,"version":"3.50.1"},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2018,9,25]],"date-time":"2018-09-25T00:00:00Z","timestamp":1537833600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61271012"],"award-info":[{"award-number":["61271012"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61671004"],"award-info":[{"award-number":["61671004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2019,3]]},"DOI":"10.1007\/s11760-018-1367-9","type":"journal-article","created":{"date-parts":[[2018,9,25]],"date-time":"2018-09-25T15:42:15Z","timestamp":1537890135000},"page":"389-395","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["A thresholding algorithm for sparse recovery via Laplace norm"],"prefix":"10.1007","volume":"13","author":[{"given":"Qian","family":"Wang","sequence":"first","affiliation":[]},{"given":"Gangrong","family":"Qu","sequence":"additional","affiliation":[]},{"given":"Guanghui","family":"Han","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,9,25]]},"reference":[{"issue":"2","key":"1367_CR1","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1109\/TIT.2005.862083","volume":"52","author":"EJ Cand\u00e8s","year":"2006","unstructured":"Cand\u00e8s, E.J., Romberg, J., Tao, T.: Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Trans. Inf. Theory 52(2), 489\u2013509 (2006)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"1367_CR2","doi-asserted-by":"crossref","unstructured":"Cand\u00e8s, E.J., Romberg, J.K.: Practical signal recovery from random projections. In: Proceedings of SPIE\u2014The International Society for Optical Engineering, p. 5674 (2004)","DOI":"10.1117\/12.600722"},{"issue":"12","key":"1367_CR3","doi-asserted-by":"publisher","first-page":"5406","DOI":"10.1109\/TIT.2006.885507","volume":"52","author":"EJ Cand\u00e8s","year":"2007","unstructured":"Cand\u00e8s, E.J., Tao, T.: Near-optimal signal recovery from random projections: universal encoding strategies? IEEE Trans. Inf. Theory 52(12), 5406\u20135425 (2007)","journal-title":"IEEE Trans. Inf. Theory"},{"issue":"4","key":"1367_CR4","doi-asserted-by":"publisher","first-page":"1289","DOI":"10.1109\/TIT.2006.871582","volume":"52","author":"DL Donoho","year":"2006","unstructured":"Donoho, D.L.: Compressed sensing. IEEE Trans. Inf. Theory 52(4), 1289\u20131306 (2006)","journal-title":"IEEE Trans. Inf. Theory"},{"issue":"1","key":"1367_CR5","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1007\/s11760-013-0429-2","volume":"9","author":"V Abolghasemi","year":"2015","unstructured":"Abolghasemi, V., Ferdowsi, S., Sanei, S.: Fast and incoherent dictionary learning algorithms with application to fMRI. Signal Image Video Process. 9(1), 147\u2013158 (2015)","journal-title":"Signal Image Video Process."},{"issue":"6","key":"1367_CR6","doi-asserted-by":"publisher","first-page":"1182","DOI":"10.1002\/mrm.21391","volume":"58","author":"M Lustig","year":"2007","unstructured":"Lustig, M., Donoho, D., Pauly, J.M.: Sparse MRI: the application of compressed sensing for rapid mr imaging. Magn. Reson. Med. 58(6), 1182\u20131195 (2007)","journal-title":"Magn. Reson. Med."},{"issue":"4","key":"1367_CR7","first-page":"2209","volume":"29","author":"J Liu","year":"2012","unstructured":"Liu, J., Xu, S., Gao, X., Li, X.: Compressive radar imaging methods based on fast smoothed \n                    \n                      \n                    \n                    $$\\ell _{0}$$\n                    \n                      \n                        \n                          \u2113\n                          0\n                        \n                      \n                    \n                   algorithm. Procedia Eng. 29(4), 2209\u20132213 (2012)","journal-title":"Procedia Eng."},{"issue":"2","key":"1367_CR8","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1109\/MSP.2007.914730","volume":"25","author":"MF Duarte","year":"2008","unstructured":"Duarte, M.F., Davenport, M.A., Takhar, D., Laska, J.N., Sun, T., Kelly, K.F., Baraniuk, R.G.: Single-pixel imaging via compressive sampling. IEEE Signal Process. Mag. 25(2), 83\u201391 (2008)","journal-title":"IEEE Signal Process. Mag."},{"key":"1367_CR9","doi-asserted-by":"publisher","first-page":"220","DOI":"10.1016\/j.neucom.2015.02.067","volume":"164","author":"H Du","year":"2015","unstructured":"Du, H., Zhang, X., Hu, Q., Hou, Y.: Sparse representation-based robust face recognition by graph regularized low-rank sparse representation recovery. Neurocomputing 164, 220\u2013229 (2015)","journal-title":"Neurocomputing"},{"issue":"1","key":"1367_CR10","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1007\/s11760-013-0428-3","volume":"9","author":"Q Mao","year":"2015","unstructured":"Mao, Q., Zhou, B., Zou, Q., Li, Q.: Efficient and lossless compression of raster maps. Signal Image Video Process. 9(1), 133\u2013145 (2015)","journal-title":"Signal Image Video Process."},{"issue":"8","key":"1367_CR11","doi-asserted-by":"publisher","first-page":"1397","DOI":"10.1007\/s11760-017-1099-2","volume":"11","author":"Q Wang","year":"2017","unstructured":"Wang, Q., Qu, G.: Extended omp algorithm for sparse phase retrieval. Signal Image Video Process. 11(8), 1397\u20131403 (2017)","journal-title":"Signal Image Video Process."},{"issue":"6","key":"1367_CR12","doi-asserted-by":"publisher","first-page":"1143","DOI":"10.1007\/s11760-016-0870-0","volume":"10","author":"AA Ahmed","year":"2016","unstructured":"Ahmed, A.A.: An optimal complexity H. 264\/AVC encoding for video streaming over next generation of wireless multimedia sensor networks. Signal Image Video Process. 10(6), 1143\u20131150 (2016)","journal-title":"Signal Image Video Process."},{"issue":"2","key":"1367_CR13","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1109\/MSP.2007.914732","volume":"25","author":"J Haupt","year":"2008","unstructured":"Haupt, J., Bajwa, W.U., Rabbat, M., Nowak, R.: Compressed sensing for networked data. IEEE Signal Process. Mag. 25(2), 92\u2013101 (2008)","journal-title":"IEEE Signal Process. Mag."},{"issue":"2","key":"1367_CR14","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1137\/S0097539792240406","volume":"24","author":"BK Natarajan","year":"1995","unstructured":"Natarajan, B.K.: Sparse approximate solutions to linear systems. SIAM J. Comput. 24(2), 227\u2013234 (1995)","journal-title":"SIAM J. Comput."},{"issue":"476","key":"1367_CR15","doi-asserted-by":"publisher","first-page":"1418","DOI":"10.1198\/016214506000000735","volume":"101","author":"H Zou","year":"2006","unstructured":"Zou, H.: The adaptive lasso and its oracle properties. J. Am. Stat. Assoc. 101(476), 1418\u20131429 (2006)","journal-title":"J. Am. Stat. Assoc."},{"issue":"3","key":"1367_CR16","doi-asserted-by":"publisher","first-page":"657","DOI":"10.1088\/0266-5611\/24\/3\/035020","volume":"24","author":"R Chartrand","year":"2008","unstructured":"Chartrand, R., Staneva, V.: Restricted isometry properties and nonconvex compressive sensing. Inverse Probl. 24(3), 657\u2013682 (2008)","journal-title":"Inverse Probl."},{"issue":"6","key":"1367_CR17","first-page":"1159","volume":"53","author":"Z Xu","year":"2010","unstructured":"Xu, Z., Zhang, H., Wang, Y.: \n                    \n                      \n                    \n                    $${L}_{1\/2}$$\n                    \n                      \n                        \n                          L\n                          \n                            1\n                            \/\n                            2\n                          \n                        \n                      \n                    \n                   regularization. Sci. China 53(6), 1159\u20131169 (2010)","journal-title":"Sci. China"},{"key":"1367_CR18","doi-asserted-by":"publisher","first-page":"178","DOI":"10.1016\/j.neucom.2012.12.034","volume":"115","author":"R He","year":"2013","unstructured":"He, R., Yuan, X., Zheng, W.S.: A fast convex conjugated algorithm for sparse recovery. Neurocomputing 115, 178\u2013185 (2013)","journal-title":"Neurocomputing"},{"key":"1367_CR19","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1016\/j.sigpro.2014.09.028","volume":"108","author":"X Huang","year":"2015","unstructured":"Huang, X., Liu, Y., Shi, L., Huffel, S.V., Suykens, J.: Two-level \n                    \n                      \n                    \n                    $$\\ell _{1}$$\n                    \n                      \n                        \n                          \u2113\n                          1\n                        \n                      \n                    \n                   minimization for compressed sensing. Signal Process. 108, 459\u2013475 (2015)","journal-title":"Signal Process."},{"issue":"7","key":"1367_CR20","doi-asserted-by":"publisher","first-page":"1601","DOI":"10.1007\/s11760-014-0617-8","volume":"9","author":"ZZ Yang","year":"2015","unstructured":"Yang, Z.Z., Yang, Z.: Fast linearized alternating direction method of multipliers for the augmented \n                    \n                      \n                    \n                    $$\\ell _{1}$$\n                    \n                      \n                        \n                          \u2113\n                          1\n                        \n                      \n                    \n                  -regularized problem. Signal Image Video Process. 9(7), 1601\u20131612 (2015)","journal-title":"Signal Image Video Process."},{"issue":"5","key":"1367_CR21","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1007\/s00041-008-9035-z","volume":"14","author":"T Blumensath","year":"2008","unstructured":"Blumensath, T., Davies, M.E.: Iterative thresholding for sparse approximations. J. Fourier Anal. Appl. 14(5), 629\u2013654 (2008)","journal-title":"J. Fourier Anal. Appl."},{"issue":"11","key":"1367_CR22","doi-asserted-by":"publisher","first-page":"1413","DOI":"10.1002\/cpa.20042","volume":"57","author":"I Daubechies","year":"2004","unstructured":"Daubechies, I., Defrise, M., Mol, C.D.: An iterative thresholding algorithm for linear inverse problems with a sparsity constraint. Commun. Pure Appl. Math. 57(11), 1413\u20131457 (2004)","journal-title":"Commun. Pure Appl. Math."},{"issue":"7","key":"1367_CR23","doi-asserted-by":"publisher","first-page":"1013","DOI":"10.1109\/TNNLS.2012.2197412","volume":"23","author":"Z Xu","year":"2012","unstructured":"Xu, Z., Chang, X., Xu, F., Zhang, H.: \n                    \n                      \n                    \n                    $${L}_{1\/2}$$\n                    \n                      \n                        \n                          L\n                          \n                            1\n                            \/\n                            2\n                          \n                        \n                      \n                    \n                   regularization: a thresholding representation theory and a fast solver. IEEE Trans. Neural Netw. Learn. Syst. 23(7), 1013\u20131027 (2012)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"1367_CR24","unstructured":"Yu, H., Miao, C.: General thresholding representation for the \n                    \n                      \n                    \n                    $${L}_{p}$$\n                    \n                      \n                        \n                          L\n                          p\n                        \n                      \n                    \n                   regularization problem. In: Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on IEEE (2014)"},{"issue":"1","key":"1367_CR25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1515\/jip-2012-0030","volume":"21","author":"Y Wang","year":"2013","unstructured":"Wang, Y., Liu, P., Li, Z., Sun, T., Yang, C., Zheng, Q.: Data regularization using Gaussian beams decomposition and sparse norms. J. Inverse Ill-Posed Probl. 21(1), 1\u201323 (2013)","journal-title":"J. Inverse Ill-Posed Probl."},{"issue":"19","key":"1367_CR26","doi-asserted-by":"publisher","first-page":"5106","DOI":"10.1109\/TSP.2016.2595499","volume":"64","author":"J Zeng","year":"2016","unstructured":"Zeng, J., Lin, S., Xu, Z.: Sparse regularization: convergence of iterative jumping thresholding algorithm. IEEE Trans. Signal Process. 64(19), 5106\u20135118 (2016)","journal-title":"IEEE Trans. Signal Process."},{"issue":"12","key":"1367_CR27","doi-asserted-by":"publisher","first-page":"5455","DOI":"10.1109\/TIP.2015.2468175","volume":"24","author":"C Miao","year":"2015","unstructured":"Miao, C., Yu, H.: A general-thresholding solution for \n                    \n                      \n                    \n                    $$\\ell _{p}(0<p<1)$$\n                    \n                      \n                        \n                          \n                            \u2113\n                            p\n                          \n                          \n                            (\n                            0\n                            <\n                            p\n                            <\n                            1\n                            )\n                          \n                        \n                      \n                    \n                   regularized CT reconstruction. IEEE Trans. Image Process. 24(12), 5455\u20135468 (2015)","journal-title":"IEEE Trans. Image Process."}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11760-018-1367-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-018-1367-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-018-1367-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,25]],"date-time":"2019-09-25T03:43:49Z","timestamp":1569383029000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11760-018-1367-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,9,25]]},"references-count":27,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2019,3]]}},"alternative-id":["1367"],"URL":"https:\/\/doi.org\/10.1007\/s11760-018-1367-9","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"value":"1863-1703","type":"print"},{"value":"1863-1711","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,9,25]]},"assertion":[{"value":"11 May 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 June 2018","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 September 2018","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 September 2018","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}