{"id":"https://openalex.org/W3213847436","doi":"https://doi.org/10.1109/iscit52804.2021.9590581","title":"Proposal of Adaptive Equalization Method with Noise Removal Function Based on Channel Estimation Using TLS Method","display_name":"Proposal of Adaptive Equalization Method with Noise Removal Function Based on Channel Estimation Using TLS Method","publication_year":2021,"publication_date":"2021-10-19","ids":{"openalex":"https://openalex.org/W3213847436","doi":"https://doi.org/10.1109/iscit52804.2021.9590581","mag":"3213847436"},"language":"en","primary_location":{"id":"doi:10.1109/iscit52804.2021.9590581","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscit52804.2021.9590581","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 20th International Symposium on Communications and Information Technologies (ISCIT)","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/A5046634987","display_name":"Ryusuke Kono","orcid":null},"institutions":[{"id":"https://openalex.org/I153470267","display_name":"Maebashi Institute of Technology","ror":"https://ror.org/01x05rm94","country_code":"JP","type":"education","lineage":["https://openalex.org/I153470267"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ryusuke Kono","raw_affiliation_strings":["Maebashi Institute of Technology, Maebashi, Gumma, Japan"],"affiliations":[{"raw_affiliation_string":"Maebashi Institute of Technology, Maebashi, Gumma, Japan","institution_ids":["https://openalex.org/I153470267"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104095580","display_name":"Minoru Komatsu","orcid":null},"institutions":[{"id":"https://openalex.org/I153470267","display_name":"Maebashi Institute of Technology","ror":"https://ror.org/01x05rm94","country_code":"JP","type":"education","lineage":["https://openalex.org/I153470267"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Minoru Komatsu","raw_affiliation_strings":["Maebashi Institute of Technology, Maebashi, Gumma, Japan"],"affiliations":[{"raw_affiliation_string":"Maebashi Institute of Technology, Maebashi, Gumma, Japan","institution_ids":["https://openalex.org/I153470267"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077156821","display_name":"Hiroki Matsumoto","orcid":"https://orcid.org/0009-0009-9420-8972"},"institutions":[{"id":"https://openalex.org/I153470267","display_name":"Maebashi Institute of Technology","ror":"https://ror.org/01x05rm94","country_code":"JP","type":"education","lineage":["https://openalex.org/I153470267"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki Matsumoto","raw_affiliation_strings":["Maebashi Institute of Technology, Maebashi, Gumma, Japan"],"affiliations":[{"raw_affiliation_string":"Maebashi Institute of Technology, Maebashi, Gumma, Japan","institution_ids":["https://openalex.org/I153470267"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5046634987"],"corresponding_institution_ids":["https://openalex.org/I153470267"],"apc_list":null,"apc_paid":null,"fwci":0.4571,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62636917,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"154","last_page":"157"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9922999739646912,"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":0.9922999739646912,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9812999963760376,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/equalization","display_name":"Equalization (audio)","score":0.7428591251373291},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.727329671382904},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.7043915390968323},{"id":"https://openalex.org/keywords/blind-equalization","display_name":"Blind equalization","score":0.6720770001411438},{"id":"https://openalex.org/keywords/adaptive-equalizer","display_name":"Adaptive equalizer","score":0.6661449670791626},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.627898633480072},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5884718298912048},{"id":"https://openalex.org/keywords/equalizer","display_name":"Equalizer","score":0.43742215633392334},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4254010319709778},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.41243910789489746},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18594375252723694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1694442629814148},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.15066304802894592},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.062479883432388306}],"concepts":[{"id":"https://openalex.org/C75755367","wikidata":"https://www.wikidata.org/wiki/Q104531076","display_name":"Equalization (audio)","level":3,"score":0.7428591251373291},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.727329671382904},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.7043915390968323},{"id":"https://openalex.org/C41425797","wikidata":"https://www.wikidata.org/wiki/Q4926640","display_name":"Blind equalization","level":4,"score":0.6720770001411438},{"id":"https://openalex.org/C25125847","wikidata":"https://www.wikidata.org/wiki/Q4680741","display_name":"Adaptive equalizer","level":4,"score":0.6661449670791626},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.627898633480072},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5884718298912048},{"id":"https://openalex.org/C67545415","wikidata":"https://www.wikidata.org/wiki/Q5384218","display_name":"Equalizer","level":3,"score":0.43742215633392334},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4254010319709778},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.41243910789489746},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18594375252723694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1694442629814148},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.15066304802894592},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.062479883432388306},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"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/iscit52804.2021.9590581","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscit52804.2021.9590581","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 20th International Symposium on Communications and Information Technologies (ISCIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2397080796","https://openalex.org/W2570946241","https://openalex.org/W3005884246"],"related_works":["https://openalex.org/W2352178434","https://openalex.org/W2018366688","https://openalex.org/W1984561329","https://openalex.org/W2351868092","https://openalex.org/W2168755097","https://openalex.org/W2378187050","https://openalex.org/W2950272089","https://openalex.org/W2372385147","https://openalex.org/W1804663541","https://openalex.org/W2123945883"],"abstract_inverted_index":{"In":[0,26,70],"the":[1,45,62,71,78,81,92,98,106,141],"communication":[2],"system,":[3],"received":[4,24,66],"signals":[5,67],"include":[6],"channel":[7,11,79,99,123],"distortion":[8],"due":[9],"to":[10,17,23,28,110,140],"characteristics.":[12,124],"Generally,":[13],"it":[14,88,126],"is":[15,48,89,108,127,149],"difficult":[16],"equalize":[18],"when":[19],"noises":[20],"are":[21],"added":[22],"signals.":[25],"order":[27],"solve":[29],"this":[30,53],"problem,":[31],"an":[32],"online":[33],"blind":[34],"equalization":[35,46,63,119,131],"method":[36,58,94,148],"with":[37,68],"a":[38,57,102],"noise":[39],"removal":[40],"function":[41],"was":[42],"proposed,":[43],"however":[44],"performance":[47,64,132],"not":[49],"sufficient.":[50],"Therefore,":[51],"in":[52,101],"paper,":[54],"we":[55,75,114],"propose":[56],"that":[59,91,129],"can":[60,95,133],"improve":[61],"for":[65],"noises.":[69,112],"proposed":[72,147],"method,":[73],"first,":[74],"adaptively":[76,115],"estimate":[77,97],"using":[80],"Total":[82],"Least":[83],"Squares":[84],"method(TLS":[85],"method).":[86],"Because":[87],"known":[90],"TLS":[93],"accurately":[96,117],"even":[100],"noisy":[103],"environment.":[104],"Second,":[105],"result":[107],"used":[109],"remove":[111],"Next,":[113],"and":[116],"calculate":[118],"parameters":[120,139],"from":[121],"estimated":[122],"Last,":[125],"considered":[128],"high":[130],"be":[134],"obtained":[135],"by":[136,151],"giving":[137],"these":[138],"equalizer":[142],"every":[143],"sample":[144],"time.":[145],"The":[146],"evaluated":[150],"computer":[152],"simulation.":[153]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}