{"id":"https://openalex.org/W4313163480","doi":"https://doi.org/10.1109/icspcc55723.2022.9984596","title":"Blind Recognition of Convolutional Codes: A Matrix Transformation-Aided Deep Learning Approach","display_name":"Blind Recognition of Convolutional Codes: A Matrix Transformation-Aided Deep Learning Approach","publication_year":2022,"publication_date":"2022-10-25","ids":{"openalex":"https://openalex.org/W4313163480","doi":"https://doi.org/10.1109/icspcc55723.2022.9984596"},"language":"en","primary_location":{"id":"doi:10.1109/icspcc55723.2022.9984596","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc55723.2022.9984596","pdf_url":null,"source":{"id":"https://openalex.org/S4363608295","display_name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","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/A5100319051","display_name":"Yao Wang","orcid":"https://orcid.org/0009-0005-3652-0424"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yao Wang","raw_affiliation_strings":["National University of Defense Technology,College of Electronic Science and Technology,Changsha,China","College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Electronic Science and Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101195681","display_name":"Hongyu You","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyu You","raw_affiliation_strings":["National University of Defense Technology,College of Electronic Science and Technology,Changsha,China","College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Electronic Science and Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078061633","display_name":"Xiang Wang","orcid":"https://orcid.org/0000-0002-3208-2042"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Wang","raw_affiliation_strings":["National University of Defense Technology,College of Electronic Science and Technology,Changsha,China","College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Electronic Science and Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101706871","display_name":"Zhitao Huang","orcid":"https://orcid.org/0000-0001-7135-5181"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhitao Huang","raw_affiliation_strings":["National University of Defense Technology,College of Electronic Science and Technology,Changsha,China","College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Electronic Science and Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100319051"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.3138,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53537923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998999834060669,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.998199999332428,"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.7775956988334656},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7483664751052856},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7350822687149048},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6124173998832703},{"id":"https://openalex.org/keywords/transformation-matrix","display_name":"Transformation matrix","score":0.5913192629814148},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5889877080917358},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5886631011962891},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44334739446640015},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4241224527359009},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42361822724342346},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.35805028676986694},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33906489610671997}],"concepts":[{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.7775956988334656},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7483664751052856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7350822687149048},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6124173998832703},{"id":"https://openalex.org/C165443888","wikidata":"https://www.wikidata.org/wiki/Q1482183","display_name":"Transformation matrix","level":3,"score":0.5913192629814148},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5889877080917358},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5886631011962891},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44334739446640015},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4241224527359009},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42361822724342346},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.35805028676986694},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33906489610671997},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspcc55723.2022.9984596","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc55723.2022.9984596","pdf_url":null,"source":{"id":"https://openalex.org/S4363608295","display_name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1980475036","https://openalex.org/W2125727560","https://openalex.org/W2129619337","https://openalex.org/W2148393970","https://openalex.org/W2294955075","https://openalex.org/W2340118409","https://openalex.org/W3000255556","https://openalex.org/W3003253005","https://openalex.org/W3157857034","https://openalex.org/W3162732547","https://openalex.org/W3174744532"],"related_works":["https://openalex.org/W2610189143","https://openalex.org/W2159424856","https://openalex.org/W4293226380","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"This":[0],"paper":[1],"focuses":[2],"on":[3,24],"the":[4,31,35,42,79,83,98,110,116,129],"blind":[5],"recognition":[6,43],"of":[7,37,40,77],"convolutional":[8,47,61,130],"codes,":[9],"a":[10,38,72,93,133],"significant":[11,121],"research":[12],"problem":[13],"in":[14,67],"cognitive":[15],"radios":[16],"and":[17,101],"signal":[18],"interception.":[19],"The":[20],"existing":[21,125],"methods":[22],"based":[23],"deep":[25],"learning":[26],"(DL)":[27],"usually":[28],"directly":[29],"take":[30],"received":[32],"sequence":[33],"as":[34,109],"input":[36],"network,":[39],"which":[41,78],"accuracy":[44],"for":[45,128],"high-rate":[46],"codes":[48,131],"is":[49,65],"often":[50],"poor.":[51],"An":[52],"identification":[53],"framework":[54],"called":[55],"MT-CNN,":[56],"combining":[57],"matrix":[58,74,100,107],"transformation":[59,75,108],"with":[60,132],"neural":[62],"networks":[63],"(CNN),":[64],"proposed":[66,89,117],"this":[68],"paper.":[69],"We":[70],"offer":[71],"novel":[73],"algorithm":[76],"result":[80],"can":[81],"highlight":[82],"differences":[84],"between":[85],"different":[86],"encoders.":[87],"Our":[88],"MT-CNN":[90],"method":[91],"adopts":[92],"feature":[94,103],"fusion":[95],"strategy,":[96],"employing":[97],"codeword":[99],"its":[102],"map":[104],"obtained":[105],"through":[106],"network's":[111],"input.":[112],"Simulations":[113],"show":[114],"that":[115],"approach":[118],"could":[119],"provide":[120],"improvements":[122],"compared":[123],"to":[124],"methods,":[126],"especially":[127],"high":[134],"rate.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}