{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T06:45:51Z","timestamp":1770273951733,"version":"3.49.0"},"reference-count":23,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3005146","type":"journal-article","created":{"date-parts":[[2020,6,27]],"date-time":"2020-06-27T00:42:19Z","timestamp":1593218539000},"page":"117841-117852","source":"Crossref","is-referenced-by-count":24,"title":["Efficient Digital Predistortion Using Sparse Neural Network"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5158-8746","authenticated-orcid":false,"given":"Masaaki","family":"Tanio","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9157-8865","authenticated-orcid":false,"given":"Naoto","family":"Ishii","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7424-1582","authenticated-orcid":false,"given":"Norifumi","family":"Kamiya","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"1135","article-title":"Learning both weights and connections for efficient neural network","author":"han","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/PAWR.2016.7440126"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/APMC.2016.7931346"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2015.12.005"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2005.00532.x"},{"key":"ref15","article-title":"Behavioural modeling and linearization of RF power amplifier using artificial neural networks","author":"mkadem","year":"2010"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-7011-4_3"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMTT.2016.2588483"},{"key":"ref18","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc ICLR"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMTT.2010.2047920"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TBC.2012.2189338"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMTT.2006.883243"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMTT.2018.2869602"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2838039"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.23919\/APMC.2018.8617423"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/VTCSpring.2018.8417491"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2006.879264"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2003.822188"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2927875"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/MWSYM.2009.5165958"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/PAWR46754.2020.9035998"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMTT.2011.2171709"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2013.2252691"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09126823.pdf?arnumber=9126823","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T01:08:40Z","timestamp":1641949720000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9126823\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3005146","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}