{"id":"https://openalex.org/W2150392187","doi":"https://doi.org/10.3233/inf-1998-9203","title":"High Speed LMS Adaptive Filtering","display_name":"High Speed LMS Adaptive Filtering","publication_year":1998,"publication_date":"1998-01-01","ids":{"openalex":"https://openalex.org/W2150392187","doi":"https://doi.org/10.3233/inf-1998-9203","mag":"2150392187"},"language":"en","primary_location":{"id":"mag:2150392187","is_oa":false,"landing_page_url":"https://content.iospress.com/articles/informatica/inf9-2-03","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Informatica","raw_type":null},"type":"article","indexed_in":[],"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/A5057916968","display_name":"Kazys Kazlauskas","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kazys Kazlauskas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5057916968"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20237774,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"2","first_page":"161","last_page":"171"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":1.0,"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":1.0,"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":0.9973999857902527,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9955999851226807,"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/least-mean-squares-filter","display_name":"Least mean squares filter","score":0.8340145349502563},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.7441964149475098},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6993590593338013},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5980263352394104},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5533617734909058},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5462529063224792},{"id":"https://openalex.org/keywords/adaptive-algorithm","display_name":"Adaptive algorithm","score":0.5071327686309814},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4511720538139343},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.438781201839447},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25581979751586914}],"concepts":[{"id":"https://openalex.org/C32617633","wikidata":"https://www.wikidata.org/wiki/Q1426666","display_name":"Least mean squares filter","level":3,"score":0.8340145349502563},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.7441964149475098},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6993590593338013},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5980263352394104},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5533617734909058},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5462529063224792},{"id":"https://openalex.org/C2776003309","wikidata":"https://www.wikidata.org/wiki/Q1988072","display_name":"Adaptive algorithm","level":2,"score":0.5071327686309814},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4511720538139343},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.438781201839447},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25581979751586914},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2150392187","is_oa":false,"landing_page_url":"https://content.iospress.com/articles/informatica/inf9-2-03","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Informatica","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1985817935","https://openalex.org/W1993602134","https://openalex.org/W2102800590","https://openalex.org/W2112704467"],"related_works":["https://openalex.org/W3014275620","https://openalex.org/W3148299653","https://openalex.org/W1565679482","https://openalex.org/W2182992209","https://openalex.org/W2622106615","https://openalex.org/W2969440784","https://openalex.org/W2189195857","https://openalex.org/W308379876","https://openalex.org/W2183327898","https://openalex.org/W2641045315","https://openalex.org/W1482187426","https://openalex.org/W2903401468","https://openalex.org/W2807990930","https://openalex.org/W8297541","https://openalex.org/W2567448372","https://openalex.org/W2339137683","https://openalex.org/W2945338886","https://openalex.org/W2905641079","https://openalex.org/W2184653854","https://openalex.org/W2335466227"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"show":[4],"that":[5],"the":[6,40,43,52,63,69],"least":[7],"mean":[8],"square":[9],"(LMS)":[10],"algorithm":[11,28,46],"can":[12],"be":[13],"speeded":[14],"up":[15],"without":[16],"changing":[17],"any":[18],"of":[19,51,62],"its":[20,30],"adaptive":[21,26,45,54],"characteristics.":[22],"The":[23],"parallel":[24],"LMS":[25,44,53],"filtering":[27],"and":[29,68],"modifications":[31],"are":[32,74],"presented.":[33,75],"High":[34],"speed":[35],"is":[36],"achieved":[37],"by":[38],"increasing":[39],"parallelism":[41],"in":[42],"through":[47],"a":[48],"proper":[49],"modification":[50],"algorithm.":[55],"An":[56],"iterative":[57],"procedures":[58],"for":[59],"efficient":[60],"computation":[61],"lower":[64],"triangular":[65],"inverse":[66],"matrix":[67,73],"input":[70],"signal":[71],"covariance":[72]},"counts_by_year":[],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}