{"id":"https://openalex.org/W2990632099","doi":"https://doi.org/10.1109/iscit.2019.8905201","title":"Recursive Least Adaptive Threshold Nonlinear Errors - Regressor Phase Algorithm","display_name":"Recursive Least Adaptive Threshold Nonlinear Errors - Regressor Phase Algorithm","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2990632099","doi":"https://doi.org/10.1109/iscit.2019.8905201","mag":"2990632099"},"language":"en","primary_location":{"id":"doi:10.1109/iscit.2019.8905201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscit.2019.8905201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 19th 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/A5109873712","display_name":"Shin'ichi Koike","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shin\u2019ichi Koike","raw_affiliation_strings":["Consultant,Tokyo,Japan","Consultant, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Consultant,Tokyo,Japan","institution_ids":[]},{"raw_affiliation_string":"Consultant, Tokyo, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5109873712"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15362437,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9998999834060669,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9991999864578247,"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":0.9988999962806702,"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/adaptive-filter","display_name":"Adaptive filter","score":0.7108737230300903},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6762517094612122},{"id":"https://openalex.org/keywords/impulse-noise","display_name":"Impulse noise","score":0.6366496682167053},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5651733875274658},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5150022506713867},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4798014461994171},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4557303190231323},{"id":"https://openalex.org/keywords/recursive-least-squares-filter","display_name":"Recursive least squares filter","score":0.4534866213798523},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44022130966186523},{"id":"https://openalex.org/keywords/impulse","display_name":"Impulse (physics)","score":0.4224620461463928},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.4220016598701477},{"id":"https://openalex.org/keywords/adaptive-algorithm","display_name":"Adaptive algorithm","score":0.4157123863697052},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36446869373321533},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14733833074569702},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10898777842521667}],"concepts":[{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.7108737230300903},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6762517094612122},{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.6366496682167053},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5651733875274658},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5150022506713867},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4798014461994171},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4557303190231323},{"id":"https://openalex.org/C145249878","wikidata":"https://www.wikidata.org/wiki/Q2835868","display_name":"Recursive least squares filter","level":3,"score":0.4534866213798523},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44022130966186523},{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.4224620461463928},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4220016598701477},{"id":"https://openalex.org/C2776003309","wikidata":"https://www.wikidata.org/wiki/Q1988072","display_name":"Adaptive algorithm","level":2,"score":0.4157123863697052},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36446869373321533},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14733833074569702},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10898777842521667},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscit.2019.8905201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscit.2019.8905201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 19th International Symposium on Communications and Information Technologies (ISCIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1492221128","https://openalex.org/W1999542175","https://openalex.org/W2025742588","https://openalex.org/W2071972422","https://openalex.org/W2096093732","https://openalex.org/W2129852596","https://openalex.org/W2147136442","https://openalex.org/W2168086693","https://openalex.org/W2168314852","https://openalex.org/W2199011767","https://openalex.org/W2548754301","https://openalex.org/W6729252139"],"related_works":["https://openalex.org/W2081837274","https://openalex.org/W3119704784","https://openalex.org/W2144530466","https://openalex.org/W2027630946","https://openalex.org/W2164852895","https://openalex.org/W2792824092","https://openalex.org/W1581456017","https://openalex.org/W2032690259","https://openalex.org/W2612844333","https://openalex.org/W3102871106"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"adaptation":[4],"algorithm":[5,25,73],"named":[6],"Recursive":[7],"Least":[8],"Adaptive":[9],"Threshold":[10],"Nonlinear":[11],"Errors":[12],"-Regressor":[13],"Phase":[14],"Algorithm":[15,28],"(RLATNE-RPhA)":[16],"for":[17],"adaptive":[18,75],"filters":[19,76],"in":[20,81],"the":[21,38,53,57,60,71,82],"complex-number":[22],"domain.":[23],"The":[24],"combines":[26],"ATNE":[27],"with":[29],"recursive":[30],"least":[31],"estimation":[32],"of":[33,37,47,59,84,87],"inverse":[34],"covariance":[35],"matrix":[36],"regressor":[39,43],"and":[40,55,65,79],"uses":[41],"a":[42],"phase.":[44],"Two":[45],"types":[46,86],"impulse":[48,88],"noise":[49],"are":[50],"considered:":[51],"at":[52,56],"output":[54],"input":[58],"filter.":[61],"Through":[62],"theoretical":[63],"analysis":[64],"experiments,":[66],"it":[67],"is":[68],"shown":[69],"that":[70],"proposed":[72],"makes":[74],"fast":[77],"convergent":[78],"robust":[80],"presence":[83],"both":[85],"noise.":[89]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}