{"id":"https://openalex.org/W2141687516","doi":"https://doi.org/10.1109/spawc.2013.6612080","title":"Joint data and channel estimation using semi-blind MLSE algorithms","display_name":"Joint data and channel estimation using semi-blind MLSE algorithms","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2141687516","doi":"https://doi.org/10.1109/spawc.2013.6612080","mag":"2141687516"},"language":"en","primary_location":{"id":"doi:10.1109/spawc.2013.6612080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc.2013.6612080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","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/A5042627469","display_name":"Chia-Lung Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Chia-Lung Wu","raw_affiliation_strings":["Kungliga Tekniska Hogskolan, Stockholm, SE","Sch. of Electr. Eng., R. Inst. of Technol., Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"Kungliga Tekniska Hogskolan, Stockholm, SE","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"Sch. of Electr. Eng., R. Inst. of Technol., Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037292846","display_name":"Ming Xiao","orcid":"https://orcid.org/0000-0002-5407-0835"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Ming Xiao","raw_affiliation_strings":["Kungliga Tekniska Hogskolan, Stockholm, SE","Sch. of Electr. Eng., R. Inst. of Technol., Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"Kungliga Tekniska Hogskolan, Stockholm, SE","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"Sch. of Electr. Eng., R. Inst. of Technol., Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041348422","display_name":"Mikael Skoglund","orcid":"https://orcid.org/0000-0002-7926-5081"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Mikael Skoglund","raw_affiliation_strings":["Kungliga Tekniska Hogskolan, Stockholm, SE","Sch. of Electr. Eng., R. Inst. of Technol., Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"Kungliga Tekniska Hogskolan, Stockholm, SE","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"Sch. of Electr. Eng., R. Inst. of Technol., Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042627469"],"corresponding_institution_ids":["https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.17640857,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"400","last_page":"404"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998000264167786,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9997000098228455,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/maximum-likelihood-sequence-estimation","display_name":"Maximum likelihood sequence estimation","score":0.7691640853881836},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7224510908126831},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.697649359703064},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6104917526245117},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.5702072381973267},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5296497344970703},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.49715569615364075},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.46019816398620605},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.45072153210639954},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.44969189167022705},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17599591612815857},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1252756118774414},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09094467759132385},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07298076152801514}],"concepts":[{"id":"https://openalex.org/C191462741","wikidata":"https://www.wikidata.org/wiki/Q6795902","display_name":"Maximum likelihood sequence estimation","level":3,"score":0.7691640853881836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7224510908126831},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.697649359703064},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6104917526245117},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.5702072381973267},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5296497344970703},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.49715569615364075},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.46019816398620605},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.45072153210639954},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.44969189167022705},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17599591612815857},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1252756118774414},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09094467759132385},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07298076152801514},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spawc.2013.6612080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc.2013.6612080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1575933530","https://openalex.org/W2054890419","https://openalex.org/W2057223677","https://openalex.org/W2084867871","https://openalex.org/W2128770168","https://openalex.org/W2131086249","https://openalex.org/W2139850196","https://openalex.org/W2145670799","https://openalex.org/W2156612254","https://openalex.org/W2162817175","https://openalex.org/W2170832052","https://openalex.org/W2172159883","https://openalex.org/W2492256567"],"related_works":["https://openalex.org/W1499442185","https://openalex.org/W2366184732","https://openalex.org/W2379466508","https://openalex.org/W2120595071","https://openalex.org/W3139607207","https://openalex.org/W2090147078","https://openalex.org/W1600683375","https://openalex.org/W2155160077","https://openalex.org/W2978085921","https://openalex.org/W2353424004"],"abstract_inverted_index":{"Operation-intensive":[0],"exhaustive":[1,128],"checking":[2],"is":[3,117],"the":[4,83,94,98,103,112,119,124],"unique":[5],"optimal":[6,127],"method":[7],"for":[8,59,72,80],"performing":[9],"joint":[10],"maximum-likelihood":[11,23,104],"(JML)":[12],"data":[13,105],"and":[14,68,91],"channel":[15],"estimation.":[16],"Thus,":[17],"several":[18,81],"suboptimal":[19],"methods":[20],"incorporating":[21],"conventional":[22],"sequence":[24,115],"estimation":[25],"(MLSE)":[26],"or":[27,48],"its":[28],"extensions":[29],"have":[30],"been":[31],"proposed":[32,76,120],"in":[33],"order":[34],"to":[35,97,101],"reduce":[36],"complexity.":[37],"However,":[38],"most":[39],"of":[40,82,126],"them":[41],"suffer":[42],"from":[43],"either":[44],"long":[45],"convergence":[46],"delay":[47],"unsatisfactory":[49],"performance.":[50],"Therefore,":[51],"based":[52],"on":[53],"a":[54,65],"two-phase":[55,99],"MLSE":[56],"algorithm":[57,71,77,121],"designed":[58],"partially":[60],"coherent":[61],"receivers,":[62],"we":[63],"propose":[64],"novel":[66],"low-complexity":[67],"low-latency":[69],"batch":[70],"JML":[73],"process.":[74],"The":[75],"first":[78],"searches":[79],"best":[84],"candidate":[85,113],"training":[86,95,114],"sequences":[87,96],"using":[88],"priority-first":[89],"search,":[90],"then":[92],"applies":[93],"MLSEs":[100],"obtain":[102],"sequence.":[106],"Simulation":[107],"results":[108],"show":[109],"that":[110],"when":[111],"length":[116],"adequate,":[118],"can":[122],"achieve":[123],"performance":[125],"checking.":[129]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
