{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:31:56Z","timestamp":1742913116965,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319221793"},{"type":"electronic","value":"9783319221809"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-22180-9_6","type":"book-chapter","created":{"date-parts":[[2015,8,10]],"date-time":"2015-08-10T13:07:32Z","timestamp":1439212052000},"page":"58-64","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["The Chaotic Measurement Matrix for Compressed Sensing"],"prefix":"10.1007","author":[{"given":"Shihong","family":"Yao","sequence":"first","affiliation":[]},{"given":"Tao","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Weiming","family":"Shen","sequence":"additional","affiliation":[]},{"given":"Shaoming","family":"Pan","sequence":"additional","affiliation":[]},{"given":"Yanwen","family":"Chong","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,8,11]]},"reference":[{"key":"6_CR1","doi-asserted-by":"crossref","unstructured":"Cand\u00e8s, E.J.: Compressive sampling. In: Proceedings of the International Congress of Mathematicians, vol. 3, pp. 1433 -1452, (2006)","DOI":"10.4171\/022-3\/69"},{"issue":"12","key":"6_CR2","doi-asserted-by":"publisher","first-page":"5406","DOI":"10.1109\/TIT.2006.885507","volume":"52","author":"EJ Candes","year":"2006","unstructured":"Candes, E.J., Tao, T.: Near-optimal signal recovery from random projections: universal encoding strategies? IEEE Trans. Inf. Theor. 52(12), 5406\u20135425 (2006)","journal-title":"IEEE Trans. Inf. Theor."},{"key":"6_CR3","doi-asserted-by":"crossref","unstructured":"Sun, R., Zhao, H., Xu, H.: The application of improved Hadamard measurement matrix in compressed sensing. In: Proceedings of International Conference on Systems and Informatics (ICSAI), pp. 1994\u20131997 (2012)","DOI":"10.1109\/ICSAI.2012.6223441"},{"key":"6_CR4","doi-asserted-by":"crossref","unstructured":"Zhang, G., Jiao, S., Xu, X., et al.: Compressed sensing and reconstruction with bernoulli matrices. In: Proceedings of International Conference on Information and Automation (ICIA), pp. 455\u2013460 (2010)","DOI":"10.1109\/ICINFA.2010.5512379"},{"key":"6_CR5","doi-asserted-by":"crossref","unstructured":"Yin, W., Morgan, S., Yang, J., et al.: Practical compressive sensing with Toeplitz and circulant matrices. In: Proceedings of International Society for Optics and Photonics on Visual Communications and Image Processing, pp. 77440K\u201377440K (2010)","DOI":"10.1117\/12.863527"},{"issue":"4\u20136","key":"6_CR6","doi-asserted-by":"publisher","first-page":"918","DOI":"10.1016\/j.jco.2007.04.002","volume":"23","author":"Ronald A DeVore","year":"2007","unstructured":"DeVore, Ronald A.: Deterministieeon structions of compressed sensing matrices. J. Complex. 23(4\u20136), 918\u2013925 (2007)","journal-title":"J. Complex."},{"key":"6_CR7","doi-asserted-by":"crossref","unstructured":"Bajwa, W., Haupt, J., Raz, G., Wright, S.J., Nowak, R.D.: Toeplitz-structured compressed sensing matrices. In: Proceedings of the IEEE Workshop on Statistical Signal Processing, Washington D. C., USA, pp. 294\u2013298 (2007)","DOI":"10.1109\/SSP.2007.4301266"},{"issue":"8","key":"6_CR8","doi-asserted-by":"publisher","first-page":"731","DOI":"10.1109\/LSP.2010.2052243","volume":"17","author":"L Yu","year":"2010","unstructured":"Yu, L., Barbot, J.P., Zheng, G., et al.: Compressive sensing with chaotic sequence. Signal Process. Lett. 17(8), 731\u2013734 (2010)","journal-title":"Signal Process. Lett."},{"key":"6_CR9","doi-asserted-by":"crossref","unstructured":"Linh-Trung, N., Van Phong, D., Hussain, Z.M., et al.: Compressed sensing using chaos filters. In: Proceedings of IEEE Conference on Telecommunication Networks and Applications (ATNAC), pp. 219\u2013223 (2008)","DOI":"10.1109\/ATNAC.2008.4783326"},{"issue":"3","key":"6_CR10","doi-asserted-by":"publisher","first-page":"825","DOI":"10.1017\/S0143385703000543","volume":"24","author":"W Huang","year":"2004","unstructured":"Huang, W., Ye, X.: Topological complexity, return times and weak disjointness. Ergodic Theor. Dyn. Syst. 24(3), 825\u2013846 (2004)","journal-title":"Ergodic Theor. Dyn. Syst."},{"key":"6_CR11","unstructured":"Donoho, D.L., Tsaig, Y., Drori, I., et al.: Sparse solution of underdetermined linear equations by stagewise orthogonal matching pursuit. Technique report TR-2006-2, Standford University, Department of Statistics (2006)"},{"issue":"11","key":"6_CR12","doi-asserted-by":"publisher","first-page":"2925","DOI":"10.1016\/j.csda.2011.04.021","volume":"55","author":"H Wang","year":"2011","unstructured":"Wang, H., Maldonado, D., Silwal, S.: A nonparametric-test-based structural similarity measure for digital images. Comput. Stat. Data Anal. 55(11), 2925\u20132936 (2011)","journal-title":"Comput. Stat. Data Anal."},{"issue":"1","key":"6_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1687-1499-2013-1","volume":"2013","author":"B Zhang","year":"2013","unstructured":"Zhang, B., Tong, X., Wang, W., et al.: The research of Kronecker product-based measurement matrix of compressive sensing. EURASIP J. Wirel. Commun. Networking 2013(1), 1\u20135 (2013)","journal-title":"EURASIP J. Wirel. Commun. Networking"}],"container-title":["Lecture Notes in Computer Science","Intelligent Computing Theories and Methodologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-22180-9_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,21]],"date-time":"2023-02-21T06:04:07Z","timestamp":1676959447000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-22180-9_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319221793","9783319221809"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-22180-9_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"11 August 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}