{"id":"https://openalex.org/W2946889564","doi":"https://doi.org/10.1109/tccn.2019.2919300","title":"Deep Joint Source-Channel Coding for Wireless Image Transmission","display_name":"Deep Joint Source-Channel Coding for Wireless Image Transmission","publication_year":2019,"publication_date":"2019-05-28","ids":{"openalex":"https://openalex.org/W2946889564","doi":"https://doi.org/10.1109/tccn.2019.2919300","mag":"2946889564"},"language":"en","primary_location":{"id":"doi:10.1109/tccn.2019.2919300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2019.2919300","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cognitive Communications and Networking","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1809.01733","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038503697","display_name":"Eirina Bourtsoulatze","orcid":"https://orcid.org/0000-0002-9897-8853"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Eirina Bourtsoulatze","raw_affiliation_strings":["Communications and Information Systems Group, University College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0002-9897-8853","affiliations":[{"raw_affiliation_string":"Communications and Information Systems Group, University College London, London, U.K","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044611289","display_name":"David Burth Kurka","orcid":"https://orcid.org/0000-0002-3754-3290"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"David Burth Kurka","raw_affiliation_strings":["Information Processing and Communications Laboratory, Imperial College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0002-3754-3290","affiliations":[{"raw_affiliation_string":"Information Processing and Communications Laboratory, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016883501","display_name":"Den\u0131z G\u00fcnd\u00fcz","orcid":"https://orcid.org/0000-0002-7725-395X"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Deniz Gunduz","raw_affiliation_strings":["Information Processing and Communications Laboratory, Imperial College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0002-7725-395X","affiliations":[{"raw_affiliation_string":"Information Processing and Communications Laboratory, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":21.0338,"has_fulltext":false,"cited_by_count":1250,"citation_normalized_percentile":{"value":0.99699667,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"5","issue":"3","first_page":"567","last_page":"579"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7935148477554321},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.5847570896148682},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4954267740249634},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44693267345428467},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.44462552666664124},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.4370175898075104},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.43255889415740967},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.41768360137939453},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4125424027442932},{"id":"https://openalex.org/keywords/forward-error-correction","display_name":"Forward error correction","score":0.41022780537605286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4090421199798584},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3592965602874756},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.29227346181869507},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.23946049809455872}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7935148477554321},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.5847570896148682},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4954267740249634},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44693267345428467},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.44462552666664124},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.4370175898075104},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.43255889415740967},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.41768360137939453},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4125424027442932},{"id":"https://openalex.org/C202932441","wikidata":"https://www.wikidata.org/wiki/Q55611017","display_name":"Forward error correction","level":3,"score":0.41022780537605286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4090421199798584},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3592965602874756},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.29227346181869507},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.23946049809455872},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1109/tccn.2019.2919300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2019.2919300","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cognitive Communications and Networking","raw_type":"journal-article"},{"id":"pmh:oai:repository.essex.ac.uk:27251","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401236","display_name":"Open Access at Essex (University of Essex)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I110002522","host_organization_name":"University of Essex","host_organization_lineage":["https://openalex.org/I110002522"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:arXiv.org:1809.01733","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1809.01733","pdf_url":"https://arxiv.org/pdf/1809.01733","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10077850","is_oa":false,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10077850/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"In: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). (pp. pp. 4774-4778). IEEE: Brighton, UK. (2019)","raw_type":"Proceedings paper"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10089480","is_oa":false,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10089480/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Cognitive Communications and Networking , 5 (3) pp. 567-579. (2019)","raw_type":"Article"},{"id":"pmh:oai:iris.unimore.it:11380/1217812","is_oa":true,"landing_page_url":"http://hdl.handle.net/11380/1217812","pdf_url":null,"source":{"id":"https://openalex.org/S4306400718","display_name":"IRIS UNIMORE (University of Modena and Reggio Emilia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122346577","host_organization_name":"University of Modena and Reggio Emilia","host_organization_lineage":["https://openalex.org/I122346577"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:spiral.imperial.ac.uk:10044/1/70875","is_oa":false,"landing_page_url":"http://hdl.handle.net/10044/1/70875","pdf_url":null,"source":{"id":"https://openalex.org/S4306401396","display_name":"Spiral (Imperial College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I47508984","host_organization_name":"Imperial College London","host_organization_lineage":["https://openalex.org/I47508984"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"579","raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1809.01733","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1809.01733","pdf_url":"https://arxiv.org/pdf/1809.01733","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4305718437","display_name":"Enabling Visual IoT Applications with Advanced Network Coding Algorithms","funder_award_id":"750254","funder_id":"https://openalex.org/F4320338337","funder_display_name":"H2020 Marie Sk\u0142odowska-Curie Actions"},{"id":"https://openalex.org/G87384822","display_name":"Hybrid Digital-Analog Networking under Extreme Energy and Latency Constraints","funder_award_id":"677854","funder_id":"https://openalex.org/F4320338335","funder_display_name":"H2020 European Research Council"}],"funders":[{"id":"https://openalex.org/F4320338335","display_name":"H2020 European Research Council","ror":"https://ror.org/0472cxd90"},{"id":"https://openalex.org/F4320338337","display_name":"H2020 Marie Sk\u0142odowska-Curie Actions","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1536930200","https://openalex.org/W1677182931","https://openalex.org/W2036249843","https://openalex.org/W2044442377","https://openalex.org/W2072128103","https://openalex.org/W2099111195","https://openalex.org/W2106864314","https://openalex.org/W2108598243","https://openalex.org/W2116295973","https://openalex.org/W2129977719","https://openalex.org/W2133665775","https://openalex.org/W2134786865","https://openalex.org/W2136040471","https://openalex.org/W2155270336","https://openalex.org/W2175739537","https://openalex.org/W2488994925","https://openalex.org/W2552465432","https://openalex.org/W2557283755","https://openalex.org/W2593493485","https://openalex.org/W2597747080","https://openalex.org/W2612445135","https://openalex.org/W2666368276","https://openalex.org/W2734408173","https://openalex.org/W2738594702","https://openalex.org/W2767831601","https://openalex.org/W2798309714","https://openalex.org/W2883901178","https://openalex.org/W2890672676","https://openalex.org/W2895432151","https://openalex.org/W2898338514","https://openalex.org/W2962676454","https://openalex.org/W2962782499","https://openalex.org/W2963174256","https://openalex.org/W2963190722","https://openalex.org/W2963449488","https://openalex.org/W2963515420","https://openalex.org/W2963622214","https://openalex.org/W2964198392","https://openalex.org/W2964231443","https://openalex.org/W3118447446","https://openalex.org/W3118608800","https://openalex.org/W4231109964","https://openalex.org/W4239072543","https://openalex.org/W4294567867","https://openalex.org/W4297775537","https://openalex.org/W4297824792","https://openalex.org/W6631190155","https://openalex.org/W6734035190","https://openalex.org/W6737664043","https://openalex.org/W6738494155","https://openalex.org/W6747916894","https://openalex.org/W6754619707","https://openalex.org/W6787907751","https://openalex.org/W6787972765","https://openalex.org/W6999787859"],"related_works":["https://openalex.org/W4322741006","https://openalex.org/W2101505280","https://openalex.org/W2120205576","https://openalex.org/W4390516098","https://openalex.org/W2161474341","https://openalex.org/W2791735244","https://openalex.org/W2134324324","https://openalex.org/W4302615923","https://openalex.org/W2181948922","https://openalex.org/W2009676115"],"abstract_inverted_index":{"We":[0,41],"propose":[1],"a":[2,66,96,133,155],"joint":[3],"source":[4],"and":[5,45,58,106,130,167,176],"channel":[6,38,99,107,139,177],"coding":[7],"(JSCC)":[8],"technique":[9],"for":[10,21],"wireless":[11],"image":[12,32],"transmission":[13,89],"that":[14,72,81],"does":[15,123],"not":[16,124],"rely":[17],"on":[18],"explicit":[19],"codes":[20],"either":[22],"compression":[23,94],"or":[24,92],"error":[25],"correction;":[26],"instead,":[27],"it":[28,131],"directly":[29],"maps":[30],"the":[31,36,43,70,74,82,111,127,138,145,152],"pixel":[33],"values":[34,109],"to":[35,144],"complex-valued":[37],"input":[39],"symbols.":[40],"parameterize":[42],"encoder":[44],"decoder":[46],"functions":[47],"by":[48],"two":[49],"convolutional":[50],"neural":[51],"networks":[52],"(CNNs),":[53],"which":[54],"are":[55],"trained":[56],"jointly,":[57],"can":[59],"be":[60],"considered":[61],"as":[62,137],"an":[63],"autoencoder":[64],"with":[65,95,142],"non-trainable":[67],"layer":[68],"in":[69,110],"middle":[71],"represents":[73],"noisy":[75],"communication":[76,172],"channel.":[77],"Our":[78],"results":[79],"show":[80],"proposed":[83],"deep":[84,121,160],"JSCC":[85,122,161],"scheme":[86],"outperforms":[87,169],"digital":[88,171],"concatenating":[90],"JPEG":[91],"JPEG2000":[93],"capacity":[97],"achieving":[98],"code":[100],"at":[101,173],"low":[102],"signal-to-noise":[103],"ratio":[104],"(SNR)":[105],"bandwidth":[108,178],"presence":[112],"of":[113,154],"additive":[114],"white":[115],"Gaussian":[116],"noise":[117,163],"(AWGN).":[118],"More":[119],"strikingly,":[120],"suffer":[125],"from":[126],"\u201ccliff":[128],"effect,\u201d":[129],"provides":[132],"graceful":[134],"performance":[135],"degradation":[136],"SNR":[140,146,175],"varies":[141],"respect":[143],"value":[147],"assumed":[148],"during":[149],"training.":[150],"In":[151],"case":[153],"slow":[156],"Rayleigh":[157],"fading":[158],"channel,":[159],"learns":[162],"resilient":[164],"coded":[165],"representations":[166],"significantly":[168],"separation-based":[170],"all":[174],"values.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":139},{"year":2025,"cited_by_count":431},{"year":2024,"cited_by_count":302},{"year":2023,"cited_by_count":191},{"year":2022,"cited_by_count":91},{"year":2021,"cited_by_count":49},{"year":2020,"cited_by_count":35},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
