{"id":"https://openalex.org/W1976440136","doi":"https://doi.org/10.1109/isit.2012.6283939","title":"Message-passing algorithms for channel estimation and decoding using approximate inference","display_name":"Message-passing algorithms for channel estimation and decoding using approximate inference","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W1976440136","doi":"https://doi.org/10.1109/isit.2012.6283939","mag":"1976440136"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2012.6283939","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2012.6283939","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Symposium on Information Theory Proceedings","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://vbn.aau.dk/da/publications/b56639a4-3168-4af9-97cc-a45536a03ca0","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Mihai-A. Badiu","orcid":null},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]},{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK","RO"],"is_corresponding":true,"raw_author_name":"Mihai-A. Badiu","raw_affiliation_strings":["Technical University of Cluj Napoca, Romania","University of Aalborg, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Cluj Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]},{"raw_affiliation_string":"University of Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Gunvor E. Kirkelund","orcid":null},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Gunvor E. Kirkelund","raw_affiliation_strings":["University of Aalborg, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Carles Navarro Manchon","orcid":null},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Carles Navarro Manchon","raw_affiliation_strings":["University of Aalborg, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Erwin Riegler","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Erwin Riegler","raw_affiliation_strings":["University of Technology, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":null,"display_name":"Bernard H. Fleury","orcid":null},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Bernard H. Fleury","raw_affiliation_strings":["University of Aalborg, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158333966","https://openalex.org/I891191580"],"apc_list":null,"apc_paid":null,"fwci":1.4905,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.82450135,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2376","last_page":"2380"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9991000294685364,"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/belief-propagation","display_name":"Belief propagation","score":0.7351999878883362},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.661899983882904},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6158000230789185},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5317999720573425},{"id":"https://openalex.org/keywords/expectation-propagation","display_name":"Expectation propagation","score":0.5067999958992004},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.49570000171661377},{"id":"https://openalex.org/keywords/approximate-inference","display_name":"Approximate inference","score":0.4927000105381012},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4772000014781952},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.4438000023365021}],"concepts":[{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.7351999878883362},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.661899983882904},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6319000124931335},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6158000230789185},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5630999803543091},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5317999720573425},{"id":"https://openalex.org/C2779363554","wikidata":"https://www.wikidata.org/wiki/Q5420835","display_name":"Expectation propagation","level":4,"score":0.5067999958992004},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.49570000171661377},{"id":"https://openalex.org/C2777472644","wikidata":"https://www.wikidata.org/wiki/Q16968992","display_name":"Approximate inference","level":3,"score":0.4927000105381012},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4772000014781952},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4438000023365021},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.4097000062465668},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.398499995470047},{"id":"https://openalex.org/C24404364","wikidata":"https://www.wikidata.org/wiki/Q7246846","display_name":"Probabilistic analysis of algorithms","level":3,"score":0.3928999900817871},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.3698999881744385},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.36809998750686646},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.35100001096725464},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3255000114440918},{"id":"https://openalex.org/C123614077","wikidata":"https://www.wikidata.org/wiki/Q1364905","display_name":"Propagation of uncertainty","level":2,"score":0.3093000054359436},{"id":"https://openalex.org/C176321772","wikidata":"https://www.wikidata.org/wiki/Q1430640","display_name":"Numerical stability","level":3,"score":0.3061000108718872},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2948000133037567},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.29260000586509705},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2919999957084656},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C159246509","wikidata":"https://www.wikidata.org/wiki/Q5428725","display_name":"Factor graph","level":3,"score":0.27320000529289246},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.272599995136261},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.2524000108242035},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.25049999356269836},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.25029999017715454}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isit.2012.6283939","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2012.6283939","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Symposium on Information Theory Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire/b56639a4-3168-4af9-97cc-a45536a03ca0","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/b56639a4-3168-4af9-97cc-a45536a03ca0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Badiu, M A, Kirkelund, G E, Manch\u00f3n, C N, Riegler, E & Fleury, B H 2012, Message-Passing Algorithms for Channel Estimation and Decoding Using Approximate Inference. in IEEE International Symposium on Information Theory. IEEE Press, Proceedings of the IEEE International Symposium on Information Theory, pp. 2376 - 2380, IEEE International Symposium on Information Theory, Cambridge, United States, 01/07/2012. https://doi.org/10.1109/ISIT.2012.6283939","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:arXiv.org:1202.1467","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1202.1467","pdf_url":"https://arxiv.org/pdf/1202.1467","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"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/b56639a4-3168-4af9-97cc-a45536a03ca0","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/b56639a4-3168-4af9-97cc-a45536a03ca0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Badiu, M A, Kirkelund, G E, Manch\u00f3n, C N, Riegler, E & Fleury, B H 2012, Message-Passing Algorithms for Channel Estimation and Decoding Using Approximate Inference. in IEEE International Symposium on Information Theory. IEEE Press, Proceedings of the IEEE International Symposium on Information Theory, pp. 2376 - 2380, IEEE International Symposium on Information Theory, Cambridge, United States, 01/07/2012. https://doi.org/10.1109/ISIT.2012.6283939","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2500937856","display_name":null,"funder_award_id":"S10603","funder_id":"https://openalex.org/F4320321181","funder_display_name":"Austrian Science Fund"},{"id":"https://openalex.org/G3670429684","display_name":"Noncoherent Wireless Communications over Doubly Selective Channels (NOWIRE)","funder_award_id":"ICT10-066","funder_id":"https://openalex.org/F4320321003","funder_display_name":"Vienna Science and Technology Fund"},{"id":"https://openalex.org/G6267202585","display_name":null,"funder_award_id":"S10603-N13","funder_id":"https://openalex.org/F4320321181","funder_display_name":"Austrian Science Fund"}],"funders":[{"id":"https://openalex.org/F4320310665","display_name":"H\u00f8jteknologifonden","ror":null},{"id":"https://openalex.org/F4320321003","display_name":"Vienna Science and Technology Fund","ror":"https://ror.org/01f9mc681"},{"id":"https://openalex.org/F4320321181","display_name":"Austrian Science Fund","ror":"https://ror.org/013tf3c58"},{"id":"https://openalex.org/F4320321409","display_name":"Aalborg Universitet","ror":"https://ror.org/04m5j1k67"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2049633694","https://openalex.org/W2052963087","https://openalex.org/W2082843060","https://openalex.org/W2137813581","https://openalex.org/W2151268673","https://openalex.org/W2165942867","https://openalex.org/W2169415915","https://openalex.org/W4293052541","https://openalex.org/W6640231202","https://openalex.org/W6678559684","https://openalex.org/W6682671827"],"related_works":[],"abstract_inverted_index":{"We":[0,24,49],"design":[1],"iterative":[2],"receiver":[3,86,98],"schemes":[4],"for":[5],"a":[6,26,92],"generic":[7],"communication":[8],"system":[9],"by":[10],"treating":[11],"channel":[12],"estimation":[13],"and":[14,36,42,56,104,118],"information":[15],"decoding":[16],"as":[17,46],"an":[18],"inference":[19,29,75],"problem":[20],"in":[21,64,91],"graphical":[22],"models.":[23],"introduce":[25],"recently":[27],"proposed":[28],"framework":[30,67,103],"that":[31,52,96],"combines":[32],"belief":[33],"propagation":[34,55],"(BP)":[35],"the":[37,53,65,73,97,101,111],"mean":[38],"field":[39],"(MF)":[40],"approximation":[41],"includes":[43],"these":[44],"algorithms":[45,60,76],"special":[47],"cases.":[48],"also":[50],"show":[51],"expectation":[54,57],"maximization":[58],"(EM)":[59],"can":[61],"be":[62],"embedded":[63],"BP-MF":[66,102],"with":[68],"slight":[69],"modifications.":[70],"By":[71],"applying":[72],"considered":[74],"to":[77],"our":[78],"probabilistic":[79],"model,":[80],"we":[81],"derive":[82],"four":[83],"different":[84],"message-passing":[85],"schemes.":[87],"Our":[88],"numerical":[89,119],"evaluation":[90],"wireless":[93],"scenario":[94],"demonstrates":[95],"based":[99,107],"on":[100,108],"its":[105],"variant":[106],"BP-EM":[109],"yield":[110],"best":[112],"compromise":[113],"between":[114],"performance,":[115],"computational":[116],"complexity":[117],"stability":[120],"among":[121],"all":[122],"candidate":[123],"algorithms.":[124]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-05-13T08:25:38.343686","created_date":"2016-06-24T00:00:00"}
