{"id":"https://openalex.org/W2124821524","doi":"https://doi.org/10.1109/acssc.2008.5074442","title":"Joint Bayesian soft multiuser decoding and multichannel estimation based on the variational IEM algorithm","display_name":"Joint Bayesian soft multiuser decoding and multichannel estimation based on the variational IEM algorithm","publication_year":2008,"publication_date":"2008-10-01","ids":{"openalex":"https://openalex.org/W2124821524","doi":"https://doi.org/10.1109/acssc.2008.5074442","mag":"2124821524"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2008.5074442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2008.5074442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 42nd Asilomar Conference on Signals, Systems and Computers","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057467649","display_name":"Alexander Kocian","orcid":"https://orcid.org/0000-0001-8847-0768"},"institutions":[{"id":"https://openalex.org/I116067653","display_name":"University of Rome Tor Vergata","ror":"https://ror.org/02p77k626","country_code":"IT","type":"education","lineage":["https://openalex.org/I116067653"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"A. Kocian","raw_affiliation_strings":["Center for TeleInFrastructure (CTiF)-Italy, University of Rome \"Tor Vergata\", Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for TeleInFrastructure (CTiF)-Italy, University of Rome \"Tor Vergata\", Italy","institution_ids":["https://openalex.org/I116067653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026465150","display_name":"Bin Hu","orcid":"https://orcid.org/0000-0003-4314-2845"},"institutions":[{"id":"https://openalex.org/I4210134056","display_name":"TDC (Denmark)","ror":"https://ror.org/0348jrz13","country_code":"DK","type":"company","lineage":["https://openalex.org/I4210134056"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"B. Hu","raw_affiliation_strings":["Nokia Danmark A/S, Copenhagen, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Danmark A/S, Copenhagen, Denmark","institution_ids":["https://openalex.org/I4210134056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064657299","display_name":"Bernard H. Fleury","orcid":"https://orcid.org/0000-0002-9061-3083"},"institutions":[{"id":"https://openalex.org/I4210122474","display_name":"Forschungszentrum Telekommunikation Wien","ror":"https://ror.org/026nftk33","country_code":"AT","type":"facility","lineage":["https://openalex.org/I4210122474"]},{"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":["AT","DK"],"is_corresponding":false,"raw_author_name":"B. H. Fleury","raw_affiliation_strings":["Telecommunications Research Center Vienna, Vienna, Austria","University of Aalborg, Aalborg, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telecommunications Research Center Vienna, Vienna, Austria","institution_ids":["https://openalex.org/I4210122474"]},{"raw_affiliation_string":"University of Aalborg, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14486334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"438","last_page":"442"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9995999932289124,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9991000294685364,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9970999956130981,"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/algorithm","display_name":"Algorithm","score":0.745699405670166},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.7301814556121826},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.5888517498970032},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.5810930132865906},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5370306968688965},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.5336445569992065},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49045678973197937},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4788087010383606},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.47841936349868774},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.45502832531929016},{"id":"https://openalex.org/keywords/rayleigh-fading","display_name":"Rayleigh fading","score":0.4480215311050415},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4320395290851593},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4293183982372284},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4282546639442444},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.42570456862449646},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.3203742802143097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1629490852355957},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13527435064315796},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.1198638379573822}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.745699405670166},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.7301814556121826},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.5888517498970032},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.5810930132865906},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5370306968688965},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.5336445569992065},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49045678973197937},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4788087010383606},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.47841936349868774},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.45502832531929016},{"id":"https://openalex.org/C56985126","wikidata":"https://www.wikidata.org/wiki/Q854039","display_name":"Rayleigh fading","level":4,"score":0.4480215311050415},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4320395290851593},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4293183982372284},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4282546639442444},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.42570456862449646},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.3203742802143097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1629490852355957},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13527435064315796},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.1198638379573822},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/acssc.2008.5074442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2008.5074442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 42nd Asilomar Conference on Signals, Systems and Computers","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/82c1fc30-5e3d-11dd-92a2-000ea68e967b","is_oa":false,"landing_page_url":"https://vbn.aau.dk/da/publications/82c1fc30-5e3d-11dd-92a2-000ea68e967b","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kocian , A , Hu , B & Fleury , B H 2008 , Joint Bayesian soft multiuser decoding and multichannel estimation based on the variational IEM algorithm . in Proc. 42nd Asilomar Conference on Signals, Systems and Computers . IEEE , Asilomar Conference on Signals, Systems and Computers , Pacific Grove, Ca , United States , 26/10/2008 . https://doi.org/10.1109/ACSSC.2008.5074442","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2049633694","https://openalex.org/W2088185204","https://openalex.org/W2096516023","https://openalex.org/W2111898578","https://openalex.org/W2115979064","https://openalex.org/W2116142917","https://openalex.org/W2129881681","https://openalex.org/W2132253225","https://openalex.org/W2158484292","https://openalex.org/W2567948266","https://openalex.org/W2912369344"],"related_works":["https://openalex.org/W1783992599","https://openalex.org/W2114899076","https://openalex.org/W2045588782","https://openalex.org/W2124697778","https://openalex.org/W2135468550","https://openalex.org/W2133422797","https://openalex.org/W2012910518","https://openalex.org/W1571591724","https://openalex.org/W2181917637","https://openalex.org/W2136821060"],"abstract_inverted_index":{"The":[0],"paper":[1],"presents":[2],"an":[3,49],"iterative":[4],"scheme":[5,101],"that":[6,98],"incrementally":[7],"minimizes":[8,21],"the":[9,22,59,63,68,78,99],"Kullback-Leibler":[10,23],"divergence":[11,24],"between":[12,25],"joint":[13,26,84],"posterior":[14,27],"and":[15,19,28,55,73,87],"nuisance":[16],"parameter":[17,69],"distribution,":[18],"directly":[20],"parameter-of-interest":[29],"distribution":[30],"in":[31,90],"alternating":[32],"order.":[33],"This":[34],"so-called":[35],"variational":[36],"Bayes":[37],"incremental":[38],"expectation":[39],"maximization":[40],"(VB-IEM)":[41],"algorithm":[42,66,80],"has":[43],"two":[44],"virtues:":[45],"first,":[46],"it":[47,57],"non-decreases":[48],"objective":[50],"function":[51],"at":[52],"each":[53],"iteration":[54],"secondly,":[56],"adopts":[58],"convergence":[60],"properties":[61],"of":[62],"exact":[64],"EM":[65],"if":[67],"estimate":[70],"is":[71,81],"consistent":[72],"maximum":[74],"a":[75],"posteriori.":[76],"When":[77],"VB-IEM":[79],"applied":[82],"to":[83],"multi-user":[85],"decoding":[86],"multi-channel":[88],"estimation":[89],"flat":[91],"Rayleigh":[92],"fading,":[93],"Monte":[94],"Carlo":[95],"simulations":[96],"show":[97],"proposed":[100],"supports":[102],"extremely":[103],"high":[104],"effective":[105],"system":[106],"loads.":[107]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}