{"id":"https://openalex.org/W2539406560","doi":"https://doi.org/10.1109/iciinfs.2008.4798476","title":"An Energy Function Based Fuzzy Variable Step Size FxLMS Algorithm for Active Noise Control","display_name":"An Energy Function Based Fuzzy Variable Step Size FxLMS Algorithm for Active Noise Control","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2539406560","doi":"https://doi.org/10.1109/iciinfs.2008.4798476","mag":"2539406560"},"language":"en","primary_location":{"id":"doi:10.1109/iciinfs.2008.4798476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciinfs.2008.4798476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems","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/A5098151396","display_name":"Naresh kunchakoori","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Naresh kunchakoori","raw_affiliation_strings":["GE Energy, USA"],"affiliations":[{"raw_affiliation_string":"GE Energy, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045754565","display_name":"Aurobinda Routray","orcid":"https://orcid.org/0000-0003-2750-6768"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aurobinda Routray","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Kharagpur, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088303334","display_name":"Devadatta Das","orcid":"https://orcid.org/0000-0002-4913-7433"},"institutions":[{"id":"https://openalex.org/I4210107015","display_name":"Institute of Minerals and Materials Technology","ror":"https://ror.org/01g7qth32","country_code":"IN","type":"facility","lineage":["https://openalex.org/I2799351866","https://openalex.org/I4210107015","https://openalex.org/I4210134808","https://openalex.org/I66760702"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"D.P. Das","raw_affiliation_strings":["Institute of Minerals and Materials Technology, Bhubaneswar, India"],"affiliations":[{"raw_affiliation_string":"Institute of Minerals and Materials Technology, Bhubaneswar, India","institution_ids":["https://openalex.org/I4210107015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5098151396"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.3490866,"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":"7"},"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":0.9962999820709229,"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":0.9922999739646912,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/least-mean-squares-filter","display_name":"Least mean squares filter","score":0.6175642013549805},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6049191355705261},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5747849941253662},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4874994456768036},{"id":"https://openalex.org/keywords/active-noise-control","display_name":"Active noise control","score":0.4704538583755493},{"id":"https://openalex.org/keywords/lyapunov-function","display_name":"Lyapunov function","score":0.45322805643081665},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4362640976905823},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.36119621992111206},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.29611527919769287},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.2742619514465332},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2172890305519104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16315680742263794},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.0799742341041565}],"concepts":[{"id":"https://openalex.org/C32617633","wikidata":"https://www.wikidata.org/wiki/Q1426666","display_name":"Least mean squares filter","level":3,"score":0.6175642013549805},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6049191355705261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5747849941253662},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4874994456768036},{"id":"https://openalex.org/C100342000","wikidata":"https://www.wikidata.org/wiki/Q583234","display_name":"Active noise control","level":3,"score":0.4704538583755493},{"id":"https://openalex.org/C60640748","wikidata":"https://www.wikidata.org/wiki/Q2337858","display_name":"Lyapunov function","level":3,"score":0.45322805643081665},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4362640976905823},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.36119621992111206},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.29611527919769287},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.2742619514465332},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2172890305519104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16315680742263794},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0799742341041565},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iciinfs.2008.4798476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciinfs.2008.4798476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W178056938","https://openalex.org/W1485567977","https://openalex.org/W1538983967","https://openalex.org/W1968020335","https://openalex.org/W2016359810","https://openalex.org/W2115433244","https://openalex.org/W2115947173","https://openalex.org/W2124442467","https://openalex.org/W2129528118","https://openalex.org/W2132749914","https://openalex.org/W2160498832","https://openalex.org/W2296319761","https://openalex.org/W2895674046","https://openalex.org/W3169801697","https://openalex.org/W4250589301"],"related_works":["https://openalex.org/W4292228113","https://openalex.org/W2287235845","https://openalex.org/W2013090399","https://openalex.org/W2183004758","https://openalex.org/W2336075158","https://openalex.org/W2586228848","https://openalex.org/W2081837274","https://openalex.org/W2253481662","https://openalex.org/W1998353256","https://openalex.org/W4210609511"],"abstract_inverted_index":{"This":[0],"paper":[1,98],"describes":[2],"real-time":[3],"implementation":[4,105,143],"of":[5,21,36,54,75,104,106,127,142],"a":[6,24,32,68,81,101,111,115,145],"Lyapunov":[7,33],"energy":[8,34,49],"function":[9,35,50],"based":[10],"fuzzy":[11],"adaptive":[12],"step":[13,40,65,85,93],"size":[14,41,66,86,94],"filtered-x-LMS":[15,45],"(FxLMS)":[16,46],"algorithm":[17,77,87],"for":[18,39],"active":[19],"control":[20],"noise":[22],"in":[23,43],"single":[25],"channel":[26],"duct.":[27],"The":[28,48,97,124],"proposed":[29,83],"method":[30,103,129],"uses":[31],"the":[37,44,59,64,76,91,107,121,134,140],"error":[38],"adjustment":[42],"algorithm.":[47,96],"and":[51],"its":[52],"rate":[53],"change":[55],"are":[56,78],"taken":[57],"as":[58,88,90],"principal":[60],"signals":[61],"to":[62,119,138],"generate":[63],"through":[67,114],"Fuzzy":[69],"Inference":[70],"System":[71],"(FIS).":[72],"Experimental":[73],"results":[74],"compared":[79,132],"with":[80,133,144],"recently":[82],"variable":[84],"well":[89],"fixed":[92],"FxLMS":[95],"also":[99],"reports":[100],"new":[102],"FIS":[108],"by":[109],"generating":[110],"nonlinear":[112],"mapping":[113],"feed-forward":[116],"neural":[117],"network":[118],"reduce":[120],"computational":[122],"complexity.":[123],"CPU":[125],"time":[126],"this":[128],"has":[130],"been":[131],"other":[135],"existing":[136],"methods":[137],"establish":[139],"feasibility":[141],"10":[146],"kHz":[147],"sampling.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
