{"id":"https://openalex.org/W2903032306","doi":"https://doi.org/10.23919/eusipco.2018.8553517","title":"Iterative Equalization Based on Expectation Propagation: A Frequency Domain Approach","display_name":"Iterative Equalization Based on Expectation Propagation: A Frequency Domain Approach","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2903032306","doi":"https://doi.org/10.23919/eusipco.2018.8553517","mag":"2903032306"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2018.8553517","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"preprint","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/A5016082868","display_name":"Serdar \u015eahin","orcid":"https://orcid.org/0000-0002-9359-376X"},"institutions":[{"id":"https://openalex.org/I4210140930","display_name":"Thales (France)","ror":"https://ror.org/04emwm605","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210140930"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Serdar Sahin","raw_affiliation_strings":["Thales Communications & Security, Gennevilliers, France"],"affiliations":[{"raw_affiliation_string":"Thales Communications & Security, Gennevilliers, France","institution_ids":["https://openalex.org/I4210140930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054078194","display_name":"Antonio Maria Cipriano","orcid":"https://orcid.org/0000-0002-5784-1789"},"institutions":[{"id":"https://openalex.org/I4210140930","display_name":"Thales (France)","ror":"https://ror.org/04emwm605","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210140930"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Antonio M. Cipriano","raw_affiliation_strings":["Thales Communications & Security, Gennevilliers, France"],"affiliations":[{"raw_affiliation_string":"Thales Communications & Security, Gennevilliers, France","institution_ids":["https://openalex.org/I4210140930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082023760","display_name":"Charly Poulliat","orcid":"https://orcid.org/0000-0001-6407-8841"},"institutions":[{"id":"https://openalex.org/I4210152422","display_name":"Universit\u00e9 Toulouse - Jean Jaur\u00e8s","ror":"https://ror.org/04ezk3x31","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210152422","https://openalex.org/I4405258862"]},{"id":"https://openalex.org/I4210119061","display_name":"Institut de Recherche en Informatique de Toulouse","ror":"https://ror.org/01rx4qw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I205747304","https://openalex.org/I205747304","https://openalex.org/I4210119061","https://openalex.org/I4387153255","https://openalex.org/I4405258862","https://openalex.org/I4405258862"]},{"id":"https://openalex.org/I3131550300","display_name":"Universit\u00e9 Toulouse-I-Capitole","ror":"https://ror.org/0443n9e75","country_code":"FR","type":"education","lineage":["https://openalex.org/I3131550300"]},{"id":"https://openalex.org/I134560555","display_name":"Universit\u00e9 Toulouse III - Paul Sabatier","ror":"https://ror.org/02v6kpv12","country_code":"FR","type":"education","lineage":["https://openalex.org/I134560555","https://openalex.org/I4405258862"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I4387153255","display_name":"\u00c9cole Nationale Sup\u00e9rieure d'\u00c9lectrotechnique, d'\u00c9lectronique, d'Informatique, d'Hydraulique et des T\u00e9l\u00e9communications","ror":"https://ror.org/05wfw4946","country_code":"FR","type":"education","lineage":["https://openalex.org/I205747304","https://openalex.org/I4387153255","https://openalex.org/I4405258862"]},{"id":"https://openalex.org/I205747304","display_name":"Institut National Polytechnique de Toulouse","ror":"https://ror.org/033p9g875","country_code":"FR","type":"education","lineage":["https://openalex.org/I205747304","https://openalex.org/I4405258862"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Charly Poulliat","raw_affiliation_strings":["IRIT-ENSEEIHT, University of Toulouse, Toulouse, France"],"affiliations":[{"raw_affiliation_string":"IRIT-ENSEEIHT, University of Toulouse, Toulouse, France","institution_ids":["https://openalex.org/I4210152422","https://openalex.org/I4387153255","https://openalex.org/I205747304","https://openalex.org/I134560555","https://openalex.org/I4210119061","https://openalex.org/I3131550300","https://openalex.org/I4210160189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053265505","display_name":"Marie\u2010Laure Boucheret","orcid":"https://orcid.org/0000-0001-6033-1766"},"institutions":[{"id":"https://openalex.org/I4210152422","display_name":"Universit\u00e9 Toulouse - Jean Jaur\u00e8s","ror":"https://ror.org/04ezk3x31","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210152422","https://openalex.org/I4405258862"]},{"id":"https://openalex.org/I4387153255","display_name":"\u00c9cole Nationale Sup\u00e9rieure d'\u00c9lectrotechnique, d'\u00c9lectronique, d'Informatique, d'Hydraulique et des T\u00e9l\u00e9communications","ror":"https://ror.org/05wfw4946","country_code":"FR","type":"education","lineage":["https://openalex.org/I205747304","https://openalex.org/I4387153255","https://openalex.org/I4405258862"]},{"id":"https://openalex.org/I134560555","display_name":"Universit\u00e9 Toulouse III - Paul Sabatier","ror":"https://ror.org/02v6kpv12","country_code":"FR","type":"education","lineage":["https://openalex.org/I134560555","https://openalex.org/I4405258862"]},{"id":"https://openalex.org/I4210119061","display_name":"Institut de Recherche en Informatique de Toulouse","ror":"https://ror.org/01rx4qw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I205747304","https://openalex.org/I205747304","https://openalex.org/I4210119061","https://openalex.org/I4387153255","https://openalex.org/I4405258862","https://openalex.org/I4405258862"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I205747304","display_name":"Institut National Polytechnique de Toulouse","ror":"https://ror.org/033p9g875","country_code":"FR","type":"education","lineage":["https://openalex.org/I205747304","https://openalex.org/I4405258862"]},{"id":"https://openalex.org/I3131550300","display_name":"Universit\u00e9 Toulouse-I-Capitole","ror":"https://ror.org/0443n9e75","country_code":"FR","type":"education","lineage":["https://openalex.org/I3131550300"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Marie-Laure Boucheret","raw_affiliation_strings":["IRIT-ENSEEIHT, University of Toulouse, Toulouse, France"],"affiliations":[{"raw_affiliation_string":"IRIT-ENSEEIHT, University of Toulouse, Toulouse, France","institution_ids":["https://openalex.org/I4210152422","https://openalex.org/I4387153255","https://openalex.org/I205747304","https://openalex.org/I134560555","https://openalex.org/I4210119061","https://openalex.org/I3131550300","https://openalex.org/I4210160189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5016082868"],"corresponding_institution_ids":["https://openalex.org/I4210140930"],"apc_list":null,"apc_paid":null,"fwci":0.36825711,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.64550606,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"932","last_page":"936"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9973000288009644,"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"}},{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9911999702453613,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7061203718185425},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.6936397552490234},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.6836274266242981},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.6517844200134277},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6013601422309875},{"id":"https://openalex.org/keywords/equalization","display_name":"Equalization (audio)","score":0.5601417422294617},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5365749597549438},{"id":"https://openalex.org/keywords/turbo","display_name":"Turbo","score":0.4547930359840393},{"id":"https://openalex.org/keywords/expectation-propagation","display_name":"Expectation propagation","score":0.44739994406700134},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4459199607372284},{"id":"https://openalex.org/keywords/turbo-equalizer","display_name":"Turbo equalizer","score":0.4339786767959595},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4282817244529724},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.41931259632110596},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3711644411087036},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.32941046357154846},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.23373129963874817},{"id":"https://openalex.org/keywords/low-density-parity-check-code","display_name":"Low-density parity-check code","score":0.10282620787620544},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07675555348396301}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7061203718185425},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.6936397552490234},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.6836274266242981},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.6517844200134277},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6013601422309875},{"id":"https://openalex.org/C75755367","wikidata":"https://www.wikidata.org/wiki/Q104531076","display_name":"Equalization (audio)","level":3,"score":0.5601417422294617},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5365749597549438},{"id":"https://openalex.org/C2776240298","wikidata":"https://www.wikidata.org/wiki/Q1138513","display_name":"Turbo","level":2,"score":0.4547930359840393},{"id":"https://openalex.org/C2779363554","wikidata":"https://www.wikidata.org/wiki/Q5420835","display_name":"Expectation propagation","level":4,"score":0.44739994406700134},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4459199607372284},{"id":"https://openalex.org/C12232224","wikidata":"https://www.wikidata.org/wiki/Q7853840","display_name":"Turbo equalizer","level":5,"score":0.4339786767959595},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4282817244529724},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.41931259632110596},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3711644411087036},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.32941046357154846},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.23373129963874817},{"id":"https://openalex.org/C67692717","wikidata":"https://www.wikidata.org/wiki/Q187444","display_name":"Low-density parity-check code","level":3,"score":0.10282620787620544},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07675555348396301},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C46462455","wikidata":"https://www.wikidata.org/wiki/Q5395712","display_name":"Error floor","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco.2018.8553517","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1506285408","https://openalex.org/W1515272691","https://openalex.org/W1530235965","https://openalex.org/W1554894994","https://openalex.org/W1572774843","https://openalex.org/W2047766817","https://openalex.org/W2107434319","https://openalex.org/W2109185368","https://openalex.org/W2123105105","https://openalex.org/W2165808853","https://openalex.org/W2531845361","https://openalex.org/W2595767172","https://openalex.org/W2754025451","https://openalex.org/W2962730745","https://openalex.org/W6630204531","https://openalex.org/W6631886430"],"related_works":["https://openalex.org/W2363507870","https://openalex.org/W2348997984","https://openalex.org/W2367547378","https://openalex.org/W2114971370","https://openalex.org/W2147006829","https://openalex.org/W1969379060","https://openalex.org/W2371007215","https://openalex.org/W2156500790","https://openalex.org/W2169844157","https://openalex.org/W2003584214"],"abstract_inverted_index":{"A":[0],"novel":[1],"single-carrier":[2],"frequency":[3,43],"domain":[4,44],"equalization":[5],"(SC-FDE)":[6],"scheme":[7],"is":[8],"proposed,":[9],"by":[10],"extending":[11],"recent":[12],"developments":[13],"in":[14],"iterative":[15],"receivers":[16,45],"that":[17,87,96],"use":[18],"expectation":[19],"propagation":[20],"(EP),":[21],"a":[22],"message":[23],"passing":[24],"formalism":[25],"for":[26,78],"approximate":[27],"Bayesian":[28],"inference.":[29],"Applying":[30],"EP":[31],"on":[32],"the":[33,62,65,72,79,88,101],"family":[34],"of":[35],"white":[36],"multivariate":[37],"Gaussian":[38],"distributions":[39],"allows":[40],"deriving":[41],"double-loop":[42],"with":[46,71],"single-tap":[47,93],"equalizers.":[48],"This":[49],"structure":[50,90],"enables":[51],"low":[52],"computational":[53],"complexity":[54,82],"implementation":[55],"via":[56],"Fast-Fourier":[57],"transforms":[58],"(FFT).":[59],"Self-iterations":[60],"between":[61],"equalizer":[63],"and":[64,67,81,95],"demapper":[66],"global":[68],"turbo":[69],"iterations":[70],"channel":[73,102],"decoder":[74],"provide":[75],"numerous":[76],"combinations":[77],"performance":[80],"trade-off.":[83],"Numerical":[84],"results":[85],"show":[86],"proposed":[89],"outperforms":[91],"alternative":[92],"FDEs":[94],"its":[97],"achievable":[98],"rates":[99],"reach":[100],"symmetric":[103],"information":[104],"rate.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
