{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T11:28:41Z","timestamp":1780054121951,"version":"3.54.0"},"reference-count":23,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&D Program of China","award":["2018YFB1801102"],"award-info":[{"award-number":["2018YFB1801102"]}]},{"name":"NSERC of Canada"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1109\/lsp.2019.2945683","type":"journal-article","created":{"date-parts":[[2019,10,7]],"date-time":"2019-10-07T19:46:16Z","timestamp":1570477576000},"page":"1778-1782","source":"Crossref","is-referenced-by-count":43,"title":["Joint Design of Measurement Matrix and Sparse Support Recovery Method via Deep Auto-Encoder"],"prefix":"10.1109","volume":"26","author":[{"given":"Shuaichao","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wanqing","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3181-9775","authenticated-orcid":false,"given":"Ying","family":"Cui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8432-3779","authenticated-orcid":false,"given":"Hei Victor","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7453-422X","authenticated-orcid":false,"given":"Wei","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2005.00532.x"},{"key":"ref11","first-page":"399","article-title":"Learning fast approximations of sparse coding","author":"gregor","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3131672.3131675"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952561"},{"key":"ref14","article-title":"Enabling large intelligent surfaces with compressive sensing and deep learning","author":"taha","year":"2019"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2016.2604397"},{"key":"ref16","first-page":"6828","article-title":"Learning a compressed sensing measurement matrix via gradient unrolling","author":"wu","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref17","article-title":"A data-driven and distributed approach to sparse signal representation and recovery","author":"mousavi","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2017.8309136"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ALLERTON.2017.8262812"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2014.2385033"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2009.2016018"},{"key":"ref6","first-page":"169","article-title":"A sparsity detection framework for on-off random access channels","author":"fletcher","year":"0","journal-title":"Proc IEEE Int Symp Inf Theory"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2012.2189196"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2795540"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2009.2032726"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2009.2032816"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2818082"},{"key":"ref20","first-page":"6850","article-title":"Deep compressed sensing","author":"wu","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref22","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2018.2818160"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1080\/10618600.2012.681250"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/97\/8883092\/08861085.pdf?arnumber=8861085","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T21:16:21Z","timestamp":1657746981000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8861085\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":23,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/lsp.2019.2945683","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"value":"1070-9908","type":"print"},{"value":"1558-2361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,12]]}}}