{"id":"https://openalex.org/W4417284677","doi":"https://doi.org/10.1109/pimrc62392.2025.11275184","title":"Optimizing the Parity-Check Matrix for Syndrome-Based Neural Decoders","display_name":"Optimizing the Parity-Check Matrix for Syndrome-Based Neural Decoders","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4417284677","doi":"https://doi.org/10.1109/pimrc62392.2025.11275184"},"language":null,"primary_location":{"id":"doi:10.1109/pimrc62392.2025.11275184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc62392.2025.11275184","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","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/A5093994197","display_name":"Gast\u00f3n De Boni Rovella","orcid":null},"institutions":[{"id":"https://openalex.org/I180910786","display_name":"Universidad de la Rep\u00fablica de Uruguay","ror":"https://ror.org/030bbe882","country_code":"UY","type":"education","lineage":["https://openalex.org/I180910786"]}],"countries":["UY"],"is_corresponding":true,"raw_author_name":"Gast\u00f3n De Boni Rovella","raw_affiliation_strings":["Universidad de la Republica,Facultad de Ingeniería,Montevideo,Uruguay"],"affiliations":[{"raw_affiliation_string":"Universidad de la Republica,Facultad de Ingeniería,Montevideo,Uruguay","institution_ids":["https://openalex.org/I180910786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011355310","display_name":"Meryem Benammar","orcid":"https://orcid.org/0000-0002-4443-9256"},"institutions":[{"id":"https://openalex.org/I100296615","display_name":"\u00c9cole Nationale de l\u2019Aviation Civile","ror":"https://ror.org/022zdgq74","country_code":"FR","type":"education","lineage":["https://openalex.org/I100296615","https://openalex.org/I4405258862"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Meryem Benammar","raw_affiliation_strings":["Université de Toulouse,Fédération ENAC-ISAE-ONERA,Toulouse,France"],"affiliations":[{"raw_affiliation_string":"Université de Toulouse,Fédération ENAC-ISAE-ONERA,Toulouse,France","institution_ids":["https://openalex.org/I100296615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033887779","display_name":"Tarik Benaddi","orcid":"https://orcid.org/0000-0003-4112-6876"},"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"]},{"id":"https://openalex.org/I4400009052","display_name":"Thales Alenia Space (France)","ror":"https://ror.org/05gz77z03","country_code":null,"type":"company","lineage":["https://openalex.org/I2802798279","https://openalex.org/I4210140930","https://openalex.org/I4400009052"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Tarik Benaddi","raw_affiliation_strings":["Thales Alenia Space,Toulouse,France"],"affiliations":[{"raw_affiliation_string":"Thales Alenia Space,Toulouse,France","institution_ids":["https://openalex.org/I4210140930","https://openalex.org/I4400009052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075210341","display_name":"Hugo M\u00e9ric","orcid":null},"institutions":[{"id":"https://openalex.org/I2799535048","display_name":"Centre National d'\u00c9tudes Spatiales","ror":"https://ror.org/04h1h0y33","country_code":"FR","type":"government","lineage":["https://openalex.org/I2799535048"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hugo Meric","raw_affiliation_strings":["Centre National d’Études Spatiales,Toulouse,France"],"affiliations":[{"raw_affiliation_string":"Centre National d’Études Spatiales,Toulouse,France","institution_ids":["https://openalex.org/I2799535048"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5093994197"],"corresponding_institution_ids":["https://openalex.org/I180910786"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.43738159,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.41530001163482666,"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":0.41530001163482666,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.26260000467300415,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.06930000334978104,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.6050000190734863},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6003000140190125},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5805000066757202},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5023999810218811},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.39959999918937683},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.37400001287460327},{"id":"https://openalex.org/keywords/matrix-algebra","display_name":"Matrix algebra","score":0.33820000290870667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6255000233650208},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.6050000190734863},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6003000140190125},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5888000130653381},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5805000066757202},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5023999810218811},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.39959999918937683},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.37400001287460327},{"id":"https://openalex.org/C2988995629","wikidata":"https://www.wikidata.org/wiki/Q2915729","display_name":"Matrix algebra","level":3,"score":0.33820000290870667},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.3361999988555908},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31349998712539673},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.29260000586509705},{"id":"https://openalex.org/C203233044","wikidata":"https://www.wikidata.org/wiki/Q5264358","display_name":"Design matrix","level":3,"score":0.2700999975204468},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.2605000138282776},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pimrc62392.2025.11275184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc62392.2025.11275184","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2584943905","https://openalex.org/W2666368276","https://openalex.org/W2949164659","https://openalex.org/W2964070430","https://openalex.org/W3040922689","https://openalex.org/W3134485225","https://openalex.org/W4392126187","https://openalex.org/W4394863101","https://openalex.org/W4399526715","https://openalex.org/W4401612437","https://openalex.org/W4403510648"],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1,47],"work,":[2],"we":[3],"investigate":[4],"the":[5,8,12,27,30,38,73],"design":[6,75],"of":[7,29],"parity-check":[9,31,56],"matrix":[10,32,57],"in":[11,79],"recently":[13],"introduced":[14],"Syndrome-Based":[15],"Neural":[16],"Decoders,":[17],"which":[18],"are":[19,61],"powerful":[20],"neural-network-based":[21],"channel":[22],"decoders.":[23],"We":[24],"show":[25],"that":[26],"structure":[28],"has":[33],"a":[34,55,68],"crucial":[35],"effect":[36],"on":[37],"decoder\u2019s":[39],"performance,":[40],"propose":[41],"an":[42,51],"information-theoretic":[43],"metric":[44],"to":[45,53],"describe":[46],"effect,":[48],"and":[49,65],"suggest":[50],"algorithm":[52],"construct":[54],"accordingly.":[58],"The":[59],"results":[60],"illustrated":[62],"both":[63],"analytically":[64],"numerically,":[66],"showing":[67],"considerable":[69],"performance":[70],"gain":[71],"for":[72],"proposed":[74],"without":[76],"any":[77],"increase":[78],"training":[80],"or":[81],"decoding":[82],"complexity.":[83]},"counts_by_year":[],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-12-12T00:00:00"}