{"id":"https://openalex.org/W2925107825","doi":"https://doi.org/10.1109/tvt.2019.2905622","title":"Machine Learning Based Blind Decoding for Space\u2013Time Line Code (STLC) Systems","display_name":"Machine Learning Based Blind Decoding for Space\u2013Time Line Code (STLC) Systems","publication_year":2019,"publication_date":"2019-03-21","ids":{"openalex":"https://openalex.org/W2925107825","doi":"https://doi.org/10.1109/tvt.2019.2905622","mag":"2925107825"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2019.2905622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2019.2905622","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Transactions on Vehicular Technology","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/A5078389333","display_name":"Jingon Joung","orcid":"https://orcid.org/0000-0002-9551-1123"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jingon Joung","raw_affiliation_strings":["School of Electrical and Electronics Engineering, Chung-Ang University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronics Engineering, Chung-Ang University, Seoul, South Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039254133","display_name":"Bang Chul Jung","orcid":"https://orcid.org/0000-0002-4485-9592"},"institutions":[{"id":"https://openalex.org/I196345858","display_name":"Chungnam National University","ror":"https://ror.org/0227as991","country_code":"KR","type":"education","lineage":["https://openalex.org/I196345858"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Bang Chul Jung","raw_affiliation_strings":["Department of Electronics Engineering, Chungnam National University, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Chungnam National University, Daejeon, South Korea","institution_ids":["https://openalex.org/I196345858"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078389333"],"corresponding_institution_ids":["https://openalex.org/I67900169"],"apc_list":null,"apc_paid":null,"fwci":3.3719,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.92749776,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"68","issue":"5","first_page":"5154","last_page":"5158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9986000061035156,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9980000257492065,"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/decoding-methods","display_name":"Decoding methods","score":0.8241827487945557},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6794707775115967},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.6005162596702576},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.5739785432815552},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5348056554794312},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.47688204050064087},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.4404483437538147},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4366888999938965},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.42678743600845337},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38728901743888855},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35327261686325073},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35314908623695374}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.8241827487945557},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6794707775115967},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.6005162596702576},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.5739785432815552},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5348056554794312},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.47688204050064087},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.4404483437538147},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4366888999938965},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.42678743600845337},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38728901743888855},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35327261686325073},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35314908623695374},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2019.2905622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2019.2905622","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Transactions on Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7452837619","display_name":null,"funder_award_id":"NRF-2016R1D1A1B03930250","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W207309682","https://openalex.org/W1980973965","https://openalex.org/W1992763738","https://openalex.org/W2040153696","https://openalex.org/W2153603787","https://openalex.org/W2477563955","https://openalex.org/W2737048573","https://openalex.org/W2753821816","https://openalex.org/W2769016969","https://openalex.org/W2770806237","https://openalex.org/W2808769300","https://openalex.org/W2810871807","https://openalex.org/W2891388911","https://openalex.org/W2891768968","https://openalex.org/W2892451142","https://openalex.org/W2898050886","https://openalex.org/W2993827264","https://openalex.org/W6752363447"],"related_works":["https://openalex.org/W1622964048","https://openalex.org/W30315714","https://openalex.org/W1965274140","https://openalex.org/W779885325","https://openalex.org/W2150972844","https://openalex.org/W2393615320","https://openalex.org/W3110435694","https://openalex.org/W2185145003","https://openalex.org/W2019992318","https://openalex.org/W92081101"],"abstract_inverted_index":{"In":[0],"this":[1],"correspondence":[2],"paper,":[3],"a":[4,49,126],"novel":[5],"machine":[6],"learning":[7],"(clustering)":[8],"based":[9],"blind":[10,108],"decoding":[11,109,114],"method":[12,110],"is":[13,35,41,103],"proposed":[14,107],"for":[15],"the":[16,23,38,44,62,69,76,83,87,93,99,106,123],"space-time":[17],"line":[18],"code":[19],"(STLC)":[20],"systems":[21],"without":[22],"information":[24,72],"of":[25,32,86,129],"modulation":[26,39],"size":[27],"and":[28,58,61,82],"channels.":[29],"The":[30],"number":[31,128],"clusters,":[33],"which":[34],"equivalent":[36],"to":[37,68],"size,":[40],"estimated":[42],"from":[43],"received":[45,79],"signals":[46],"by":[47,91],"using":[48],"k-mean":[50],"cluster":[51,63],"validation":[52],"metrics,":[53],"such":[54],"as":[55],"silhouette":[56],"score":[57],"Davies-Bouldin":[59],"index,":[60],"indices":[64],"are":[65,89],"directly":[66],"mapped":[67],"transmitted":[70],"binary":[71],"bits.":[73],"To":[74],"improve":[75],"clustering":[77],"performance,":[78],"signal":[80,96],"normalization":[81],"initial":[84],"centroids":[85],"clusters":[88],"designed":[90],"exploiting":[92],"combined":[94],"STLC":[95],"structure.":[97],"From":[98],"numerical":[100],"results,":[101],"it":[102],"verified":[104],"that":[105],"can":[111],"achieve":[112],"near-coherent":[113],"performance":[115],"with":[116],"either":[117],"small-size":[118],"modulation,":[119],"low":[120],"noise":[121],"at":[122],"receiver,":[124],"or":[125],"large":[127],"transmit":[130],"antennas.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":5}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}