{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,31]],"date-time":"2024-10-31T02:54:04Z","timestamp":1730343244904,"version":"3.28.0"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T00:00:00Z","timestamp":1629676800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T00:00:00Z","timestamp":1629676800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,8,23]]},"DOI":"10.23919\/eusipco54536.2021.9616207","type":"proceedings-article","created":{"date-parts":[[2021,12,8]],"date-time":"2021-12-08T16:55:53Z","timestamp":1638982553000},"page":"2139-2143","source":"Crossref","is-referenced-by-count":0,"title":["Shape Parameter and Sparse Representation Recovery under Generalized Gaussian Noise"],"prefix":"10.23919","author":[{"given":"Florin Ilarion","family":"Miertoiu","sequence":"first","affiliation":[]},{"given":"Bogdan","family":"Dumitrescu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.disopt.2006.10.001"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1137\/16M1095962"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1137\/16M1069687"},{"key":"ref13","article-title":"Exploiting sparsity of MILPs by improving the randomization step in feasibility pump","author":"dey","year":"2016","journal-title":"SIAM Journal on Optimization"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s10589-013-9540-0"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s12532-014-0068-9"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/5615243"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/a13040088"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2496367"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.disopt.2006.10.004"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmaa.2004.07.049"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611975482.86"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2477047"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2598316"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.192"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2544852"},{"key":"ref2","first-page":"2864","article-title":"Sparse channel estimation with lp-norm and reweighted 11-norm penalized least mean squares","author":"taheri","year":"2011","journal-title":"IEEE Int Conf Acoustics Speech and Signal Processing (ICASSP)"},{"journal-title":"A practical procedure to estimate the shape parameter in the generalized Gaussian distribution","year":"2003","author":"dominguez-molina","key":"ref1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-004-0570-3"},{"journal-title":"CVX Matlab Software for Disciplined Convex Programming Version 2 1","year":"2014","author":"grant","key":"ref20"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2018.2846479"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.1993.342465"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2006.134"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"1108","DOI":"10.1109\/LSP.2014.2325495","article-title":"Continuous mixed p-norm adaptive algorithm for system identification","volume":"21","author":"zayyani","year":"2014","journal-title":"IEEE Signal Proc Letters"}],"event":{"name":"2021 29th European Signal Processing Conference (EUSIPCO)","start":{"date-parts":[[2021,8,23]]},"location":"Dublin, Ireland","end":{"date-parts":[[2021,8,27]]}},"container-title":["2021 29th European Signal Processing Conference (EUSIPCO)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9615915\/9615917\/09616207.pdf?arnumber=9616207","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,21]],"date-time":"2022-03-21T16:57:08Z","timestamp":1647881828000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9616207\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,23]]},"references-count":24,"URL":"https:\/\/doi.org\/10.23919\/eusipco54536.2021.9616207","relation":{},"subject":[],"published":{"date-parts":[[2021,8,23]]}}}