{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T15:43:46Z","timestamp":1784216626669,"version":"3.55.0"},"reference-count":33,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2018,2,1]],"date-time":"2018-02-01T00:00:00Z","timestamp":1517443200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Signal Process."],"published-print":{"date-parts":[[2018,2]]},"DOI":"10.1109\/jstsp.2017.2784180","type":"journal-article","created":{"date-parts":[[2017,12,15]],"date-time":"2017-12-15T22:23:50Z","timestamp":1513376630000},"page":"132-143","source":"Crossref","is-referenced-by-count":720,"title":["Deep Learning Based Communication Over the Air"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7614-5156","authenticated-orcid":false,"given":"Sebastian","family":"Dorner","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sebastian","family":"Cammerer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jakob","family":"Hoydis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stephan ten","family":"Brink","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014"},{"key":"ref32","author":"harris","year":"2004","journal-title":"Multirate Signal Processing for Communication Systems"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1214\/08-PS141"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.2016.7869126"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2015.2471178"},{"key":"ref11","article-title":"Theano: A python framework for fast\n computation of mathematical expressions","author":"al-rfou","year":"2016"},{"key":"ref12","article-title":"TensorFlow: Large-scale machine learning on\n heterogeneous distributed systems","author":"abadi","year":"2016"},{"key":"ref13","article-title":"Keras","author":"chollet","year":"2015"},{"key":"ref14","article-title":"MXNet: A flexible and efficient machine\n learning library for heterogeneous distributed systems","author":"chen","year":"2015"},{"key":"ref15","article-title":"Torch7: A MATLAB-like environment for machine learning","author":"collobert","year":"0","journal-title":"Proc BigLearn Neural Inf Process Syst Workshop"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ALLERTON.2016.7852251"},{"key":"ref17","article-title":"RNN decoding of linear block\n codes","author":"nachmani","year":"2017"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CISS.2017.7926071"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2016.7905837"},{"key":"ref28","first-page":"318","article-title":"Parallel distributed processing: Explorations in the microstructure of cognition","volume":"1","author":"rumelhart","year":"1986"},{"key":"ref4","article-title":"An introduction to machine learning communications systems","author":"o\u2019shea","year":"2017"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2005.09013"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ISSPIT.2016.7886039"},{"key":"ref6","article-title":"Deep neural networks to enable real-time multimessenger astrophysics","author":"george","year":"2016"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref5","article-title":"Deep learning for identifying metastatic breast cancer","author":"wang","year":"2016"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/S0165-1684(00)00030-X"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/nature16961"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/26.141453"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2012.100412.00017"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/j.1538-7305.1948.tb01338.x"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952561"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2017.7997434"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/SPAWC.2017.8227772"},{"key":"ref24","article-title":"Learning to protect communications with adversarial neural cryptography","author":"abadi","year":"2016"},{"key":"ref23","article-title":"Detection algorithms for communication systems using deep learning","author":"farsad","year":"2017"},{"key":"ref26","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/SPLIM.2016.7528397"}],"container-title":["IEEE Journal of Selected Topics in Signal Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4200690\/8295180\/08214233.pdf?arnumber=8214233","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:22:44Z","timestamp":1642004564000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8214233\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,2]]},"references-count":33,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/jstsp.2017.2784180","relation":{},"ISSN":["1932-4553","1941-0484"],"issn-type":[{"value":"1932-4553","type":"print"},{"value":"1941-0484","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,2]]}}}