{"id":"https://openalex.org/W2340118409","doi":"https://doi.org/10.1109/lcomm.2016.2525759","title":"On Blind Recognition of Channel Codes Within a Candidate Set","display_name":"On Blind Recognition of Channel Codes Within a Candidate Set","publication_year":2016,"publication_date":"2016-02-03","ids":{"openalex":"https://openalex.org/W2340118409","doi":"https://doi.org/10.1109/lcomm.2016.2525759","mag":"2340118409"},"language":"en","primary_location":{"id":"doi:10.1109/lcomm.2016.2525759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2016.2525759","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Communications Letters","raw_type":"journal-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/A5067545761","display_name":"Peidong Yu","orcid":"https://orcid.org/0000-0001-6664-5942"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peidong Yu","raw_affiliation_strings":["Department of Signal Analysis and Processing, Zhengzhou Institute of Information Science and Technology, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal Analysis and Processing, Zhengzhou Institute of Information Science and Technology, Zhengzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009162241","display_name":"Hua Peng","orcid":"https://orcid.org/0000-0001-5761-3535"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hua Peng","raw_affiliation_strings":["Department of Signal Analysis and Processing, Zhengzhou Institute of Information Science and Technology, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal Analysis and Processing, Zhengzhou Institute of Information Science and Technology, Zhengzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100337109","display_name":"Jing Li","orcid":"https://orcid.org/0000-0003-3668-1162"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jing Li","raw_affiliation_strings":["Department of Signal Analysis and Processing, Zhengzhou Institute of Information Science and Technology, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal Analysis and Processing, Zhengzhou Institute of Information Science and Technology, Zhengzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.2741,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.94419709,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"20","issue":"4","first_page":"736","last_page":"739"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","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"}},"topics":[{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9962999820709229,"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/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9934999942779541,"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/computer-science","display_name":"Computer science","score":0.6408802270889282},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6346896886825562},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.5764332413673401},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4901888966560364},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4790326654911041},{"id":"https://openalex.org/keywords/parity-bit","display_name":"Parity bit","score":0.47002172470092773},{"id":"https://openalex.org/keywords/concatenated-error-correction-code","display_name":"Concatenated error correction code","score":0.44459962844848633},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43522509932518005},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4299764931201935},{"id":"https://openalex.org/keywords/low-density-parity-check-code","display_name":"Low-density parity-check code","score":0.4175075888633728},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3618050813674927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2498052418231964},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.18051952123641968},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11108449101448059}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6408802270889282},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6346896886825562},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.5764332413673401},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4901888966560364},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4790326654911041},{"id":"https://openalex.org/C131521367","wikidata":"https://www.wikidata.org/wiki/Q625502","display_name":"Parity bit","level":2,"score":0.47002172470092773},{"id":"https://openalex.org/C78944582","wikidata":"https://www.wikidata.org/wiki/Q5158264","display_name":"Concatenated error correction code","level":4,"score":0.44459962844848633},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43522509932518005},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4299764931201935},{"id":"https://openalex.org/C67692717","wikidata":"https://www.wikidata.org/wiki/Q187444","display_name":"Low-density parity-check code","level":3,"score":0.4175075888633728},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3618050813674927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2498052418231964},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.18051952123641968},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11108449101448059}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcomm.2016.2525759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2016.2525759","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2038157520","https://openalex.org/W2046819532","https://openalex.org/W2053879977","https://openalex.org/W2079713623","https://openalex.org/W2089523480","https://openalex.org/W2102109623","https://openalex.org/W2129619337","https://openalex.org/W2148393970"],"related_works":["https://openalex.org/W2350834058","https://openalex.org/W2165711691","https://openalex.org/W2060654563","https://openalex.org/W2127999627","https://openalex.org/W2135229457","https://openalex.org/W2060592722","https://openalex.org/W2047865867","https://openalex.org/W2088772514","https://openalex.org/W2546697521","https://openalex.org/W2103061764"],"abstract_inverted_index":{"Existing":[0],"schemes":[1],"for":[2,79],"blind":[3,71],"recognition":[4,56,72],"of":[5,10,16,32,45,63],"channel":[6],"codes":[7],"make":[8],"use":[9,39],"the":[11,33,40,46,55,64,89],"average":[12,41],"log-likelihood":[13],"ratio":[14],"(LLR)":[15],"each":[17],"code's":[18],"parity":[19,47],"checks.":[20,48],"There":[21],"are":[22],"difficulties":[23],"in":[24,29],"setting":[25],"necessary":[26],"thresholds":[27],"and":[28],"theoretical":[30],"analysis":[31],"method.":[34,66],"This":[35],"letter":[36],"proposes":[37],"to":[38,61],"likelihood":[42],"difference":[43],"(LD)":[44],"The":[49],"computational":[50],"complexity":[51],"is":[52,58,73],"reduced":[53],"while":[54],"performance":[57],"kept":[59],"comparable":[60],"that":[62],"LLR":[65],"Moreover,":[67],"an":[68],"optimum":[69],"decoding-based":[70],"also":[74],"described.":[75],"Simulations":[76],"show":[77],"that,":[78],"rate":[80],"1/2":[81],"convolutional":[82],"codes,":[83],"this":[84],"new":[85],"method":[86],"notably":[87],"improves":[88],"performance.":[90]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
