{"id":"https://openalex.org/W2791908596","doi":"https://doi.org/10.1109/iccw.2018.8403666","title":"Blind Channel Equalization Using Variational Autoencoders","display_name":"Blind Channel Equalization Using Variational Autoencoders","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2791908596","doi":"https://doi.org/10.1109/iccw.2018.8403666","mag":"2791908596"},"language":"en","primary_location":{"id":"doi:10.1109/iccw.2018.8403666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccw.2018.8403666","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Communications Workshops (ICC Workshops)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1803.01526","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077903013","display_name":"Avi Caciularu","orcid":"https://orcid.org/0000-0003-0573-1075"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Avi Caciularu","raw_affiliation_strings":["School of Electrical Engineering, Tel-Aviv University, Tel-Aviv, Israel","School of Electrical Engineering , Tel Aviv University , Tel Aviv, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Tel-Aviv University, Tel-Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]},{"raw_affiliation_string":"School of Electrical Engineering , Tel Aviv University , Tel Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007290326","display_name":"David Burshtein","orcid":"https://orcid.org/0000-0001-7255-1360"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"David Burshtein","raw_affiliation_strings":["School of Electrical Engineering, Tel-Aviv University, Tel-Aviv, Israel","School of Electrical Engineering , Tel Aviv University , Tel Aviv, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Tel-Aviv University, Tel-Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]},{"raw_affiliation_string":"School of Electrical Engineering , Tel Aviv University , Tel Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16391192"],"apc_list":null,"apc_paid":null,"fwci":1.8044,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.86201153,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"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/T11447","display_name":"Blind Source Separation Techniques","score":1.0,"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":1.0,"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/T10860","display_name":"Speech and Audio Processing","score":0.9980999827384949,"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":0.9919999837875366,"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/adaptive-equalizer","display_name":"Adaptive equalizer","score":0.7381691336631775},{"id":"https://openalex.org/keywords/equalization","display_name":"Equalization (audio)","score":0.7253361940383911},{"id":"https://openalex.org/keywords/blind-equalization","display_name":"Blind equalization","score":0.7150322198867798},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.672016441822052},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.6575334668159485},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5791552066802979},{"id":"https://openalex.org/keywords/equalizer","display_name":"Equalizer","score":0.5703453421592712},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5403066277503967},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5326617956161499},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.468011736869812},{"id":"https://openalex.org/keywords/modulus","display_name":"Modulus","score":0.43537819385528564},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3625827431678772},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18195903301239014},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13839709758758545}],"concepts":[{"id":"https://openalex.org/C25125847","wikidata":"https://www.wikidata.org/wiki/Q4680741","display_name":"Adaptive equalizer","level":4,"score":0.7381691336631775},{"id":"https://openalex.org/C75755367","wikidata":"https://www.wikidata.org/wiki/Q104531076","display_name":"Equalization (audio)","level":3,"score":0.7253361940383911},{"id":"https://openalex.org/C41425797","wikidata":"https://www.wikidata.org/wiki/Q4926640","display_name":"Blind equalization","level":4,"score":0.7150322198867798},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.672016441822052},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.6575334668159485},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5791552066802979},{"id":"https://openalex.org/C67545415","wikidata":"https://www.wikidata.org/wiki/Q5384218","display_name":"Equalizer","level":3,"score":0.5703453421592712},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5403066277503967},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5326617956161499},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.468011736869812},{"id":"https://openalex.org/C193867417","wikidata":"https://www.wikidata.org/wiki/Q6889814","display_name":"Modulus","level":2,"score":0.43537819385528564},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3625827431678772},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18195903301239014},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13839709758758545},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/iccw.2018.8403666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccw.2018.8403666","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Communications Workshops (ICC Workshops)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1803.01526","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1803.01526","pdf_url":"https://arxiv.org/pdf/1803.01526","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2791908596","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1803.01526.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1803.01526","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1803.01526","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1803.01526","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1803.01526","pdf_url":"https://arxiv.org/pdf/1803.01526","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2791908596.pdf","grobid_xml":"https://content.openalex.org/works/W2791908596.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1909320841","https://openalex.org/W2022594971","https://openalex.org/W2053086240","https://openalex.org/W2097987904","https://openalex.org/W2107757493","https://openalex.org/W2114018052","https://openalex.org/W2144955380","https://openalex.org/W2145534685","https://openalex.org/W2148468997","https://openalex.org/W2152623266","https://openalex.org/W2164474176","https://openalex.org/W2166321009","https://openalex.org/W2194775991","https://openalex.org/W2271840356","https://openalex.org/W2311297018","https://openalex.org/W2346584795","https://openalex.org/W2493589175","https://openalex.org/W2584943905","https://openalex.org/W2618746189","https://openalex.org/W2666368276","https://openalex.org/W2741622977","https://openalex.org/W2950937143","https://openalex.org/W2951982427","https://openalex.org/W2952165242","https://openalex.org/W2962981131","https://openalex.org/W2963408536","https://openalex.org/W2964121744","https://openalex.org/W6631190155","https://openalex.org/W6639732818","https://openalex.org/W6640963894","https://openalex.org/W6730091202","https://openalex.org/W6739872939"],"related_works":["https://openalex.org/W2962782499","https://openalex.org/W2061535501","https://openalex.org/W2036032184","https://openalex.org/W2377231310","https://openalex.org/W2034686497","https://openalex.org/W2484270222","https://openalex.org/W1636079979","https://openalex.org/W2002204015","https://openalex.org/W2734408173","https://openalex.org/W2480947720","https://openalex.org/W2007248153","https://openalex.org/W2164506387","https://openalex.org/W2020227580","https://openalex.org/W1545365478","https://openalex.org/W2123132124","https://openalex.org/W2999923984","https://openalex.org/W2154753932","https://openalex.org/W2119254105","https://openalex.org/W2096669968","https://openalex.org/W2575848036"],"abstract_inverted_index":{"A":[0],"new":[1,47,68,109],"maximum":[2],"likelihood":[3],"estimation":[4],"approach":[5],"for":[6,37],"blind":[7,49],"channel":[8,50,76],"equalization,":[9],"using":[10],"variational":[11],"autoencoders":[12],"(VAEs),":[13],"is":[14,111,117,128],"introduced.":[15],"Significant":[16],"and":[17,95,120],"consistent":[18],"improvements":[19],"in":[20],"the":[21,25,38,43,46,55,80,104,108,121],"error":[22,65],"rate":[23],"of":[24,45,57,100,107,123],"reconstructed":[26],"symbols,":[27],"compared":[28,78,113],"to":[29,54,79,114,126],"constant":[30,81],"modulus":[31,82],"equalizers,":[32],"are":[33],"demonstrated.":[34],"In":[35],"fact,":[36],"channels":[39],"that":[40],"were":[41],"examined,":[42],"performance":[44,56],"VAE":[48,86],"equalizer":[51,110],"was":[52],"close":[53],"a":[58,72,88,96],"nonblind":[59],"adaptive":[60],"linear":[61],"minimum":[62],"mean":[63],"square":[64],"equalizer.":[66],"The":[67,85],"equalization":[69],"method":[70],"enables":[71],"significantly":[73],"lower":[74],"latency":[75],"acquisition":[77],"algorithm":[83],"(CMA).":[84],"uses":[87],"convolutional":[89],"neural":[90],"network":[91],"with":[92],"two":[93],"layers":[94],"very":[97],"small":[98],"number":[99,122],"free":[101,124],"parameters.":[102],"Although":[103],"computational":[105],"complexity":[106],"higher":[112],"CMA,":[115],"it":[116],"still":[118],"reasonable,":[119],"parameters":[125],"estimate":[127],"small.":[129]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
