{"id":"https://openalex.org/W2921070911","doi":"https://doi.org/10.23919/apsipa.2018.8659566","title":"Trimmed-Mean FxLMS Algorithm for ANC in Impulsive Noise","display_name":"Trimmed-Mean FxLMS Algorithm for ANC in Impulsive Noise","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2921070911","doi":"https://doi.org/10.23919/apsipa.2018.8659566","mag":"2921070911"},"language":"en","primary_location":{"id":"doi:10.23919/apsipa.2018.8659566","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659566","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5103196988","display_name":"Dah\u2010Chung Chang","orcid":"https://orcid.org/0000-0003-1583-7519"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Dah-Chung Chang","raw_affiliation_strings":["Department of Communication Engineering, National Central University, Taoyuang, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Communication Engineering, National Central University, Taoyuang, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047497047","display_name":"Po-Wei Chiang","orcid":null},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Po-Wei Chiang","raw_affiliation_strings":["Department of Communication Engineering, National Central University, Taoyuang, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Communication Engineering, National Central University, Taoyuang, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103196988"],"corresponding_institution_ids":["https://openalex.org/I22265921"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.20392377,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1268","last_page":"1271"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9987000226974487,"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":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/active-noise-control","display_name":"Active noise control","score":0.7446897029876709},{"id":"https://openalex.org/keywords/least-mean-squares-filter","display_name":"Least mean squares filter","score":0.7095272541046143},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.686426043510437},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6471906900405884},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6388240456581116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6382323503494263},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.6098384857177734},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5029663443565369},{"id":"https://openalex.org/keywords/impulse-noise","display_name":"Impulse noise","score":0.45158228278160095},{"id":"https://openalex.org/keywords/noise-control","display_name":"Noise control","score":0.4410496652126312},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.40160760283470154},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3545476496219635},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.2016906440258026},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17864012718200684}],"concepts":[{"id":"https://openalex.org/C100342000","wikidata":"https://www.wikidata.org/wiki/Q583234","display_name":"Active noise control","level":3,"score":0.7446897029876709},{"id":"https://openalex.org/C32617633","wikidata":"https://www.wikidata.org/wiki/Q1426666","display_name":"Least mean squares filter","level":3,"score":0.7095272541046143},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.686426043510437},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6471906900405884},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6388240456581116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6382323503494263},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.6098384857177734},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5029663443565369},{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.45158228278160095},{"id":"https://openalex.org/C116822448","wikidata":"https://www.wikidata.org/wiki/Q1879301","display_name":"Noise control","level":3,"score":0.4410496652126312},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.40160760283470154},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3545476496219635},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2016906440258026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17864012718200684},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/apsipa.2018.8659566","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659566","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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":15,"referenced_works":["https://openalex.org/W1510808217","https://openalex.org/W1890984361","https://openalex.org/W1998131640","https://openalex.org/W2039961977","https://openalex.org/W2062177972","https://openalex.org/W2080773601","https://openalex.org/W2110167596","https://openalex.org/W2123902555","https://openalex.org/W2128612105","https://openalex.org/W2129643312","https://openalex.org/W2147556153","https://openalex.org/W2149385801","https://openalex.org/W2158796382","https://openalex.org/W2166713810","https://openalex.org/W2171652871"],"related_works":["https://openalex.org/W4292228113","https://openalex.org/W2159720070","https://openalex.org/W2463830379","https://openalex.org/W1991133639","https://openalex.org/W2013090399","https://openalex.org/W2157134024","https://openalex.org/W2183004758","https://openalex.org/W2336075158","https://openalex.org/W2165264176","https://openalex.org/W2290527899"],"abstract_inverted_index":{"The":[0],"filtered-x":[1],"least":[2],"mean":[3],"square":[4],"(FxLMS)":[5],"algorithm":[6],"has":[7,17,124],"been":[8],"widely":[9],"used":[10],"for":[11],"active":[12],"noise":[13,39,127],"control":[14],"(ANC),":[15],"which":[16,44,90],"a":[18],"satisfying":[19],"convergence":[20,48,129],"performance":[21,49,130],"in":[22,41,46,111],"the":[23,27,37,62,68,80,97,107,112,121],"Gaussian":[24],"noise.":[25],"Nevertheless,":[26],"ANC":[28],"system":[29],"can":[30,53],"receive":[31],"an":[32],"unusual":[33],"signal":[34],"contaminated":[35],"by":[36,86],"impulsive":[38],"(IN)":[40],"practical":[42],"applications,":[43],"results":[45],"serious":[47],"degradation.":[50],"Some":[51],"references":[52],"be":[54],"found":[55],"discussing":[56],"this":[57,78],"issue,":[58],"but":[59],"many":[60],"of":[61,70],"proposed":[63,122],"solutions":[64],"highly":[65],"rely":[66],"on":[67,74],"setup":[69],"pre-determined":[71],"parameters":[72,108],"depending":[73],"special":[75],"situations.":[76],"In":[77],"paper,":[79],"IN":[81],"problem":[82],"is":[83,102],"dealt":[84],"with":[85],"some":[87],"robust":[88,134],"algorithms,":[89,100],"are":[91],"adapted":[92],"from":[93],"order":[94],"statistics.":[95],"With":[96],"new":[98],"FxLMS":[99],"there":[101],"no":[103],"pre-requisite":[104],"to":[105,132],"determine":[106],"as":[109],"required":[110],"past":[113],"works.":[114],"Through":[115],"simulation":[116],"results,":[117],"we":[118],"show":[119],"that":[120],"method":[123],"better":[125],"average":[126],"reduction":[128],"compared":[131],"other":[133],"methods.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}