{"id":"https://openalex.org/W2108686901","doi":"https://doi.org/10.1109/icassp.2009.4959561","title":"Performance issues in recursive least-squares adaptive GSC for speech enhancement","display_name":"Performance issues in recursive least-squares adaptive GSC for speech enhancement","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W2108686901","doi":"https://doi.org/10.1109/icassp.2009.4959561","mag":"2108686901"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2009.4959561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4959561","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5039383133","display_name":"Mahdi Triki","orcid":null},"institutions":[{"id":"https://openalex.org/I1329325741","display_name":"Philips (Finland)","ror":"https://ror.org/01g4jev56","country_code":"FI","type":"company","lineage":["https://openalex.org/I1329325741","https://openalex.org/I4210122849"]},{"id":"https://openalex.org/I4210122849","display_name":"Philips (Netherlands)","ror":"https://ror.org/02p2bgp27","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210122849"]}],"countries":["FI","NL"],"is_corresponding":true,"raw_author_name":"Mahdi Triki","raw_affiliation_strings":["Digital Signal Processing Group, Philips Research Laboratories, Eindhoven, Netherlands","[Digital Signal Processing Group, Philips Research Laboratories, Eindhoven, The Netherlands]"],"affiliations":[{"raw_affiliation_string":"Digital Signal Processing Group, Philips Research Laboratories, Eindhoven, Netherlands","institution_ids":["https://openalex.org/I4210122849"]},{"raw_affiliation_string":"[Digital Signal Processing Group, Philips Research Laboratories, Eindhoven, The Netherlands]","institution_ids":["https://openalex.org/I1329325741"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5039383133"],"corresponding_institution_ids":["https://openalex.org/I1329325741","https://openalex.org/I4210122849"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.13929103,"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":"225","last_page":"228"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":1.0,"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/T10860","display_name":"Speech and Audio Processing","score":1.0,"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":0.9998999834060669,"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":0.9958000183105469,"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/noise","display_name":"Noise (video)","score":0.6216745972633362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6150537729263306},{"id":"https://openalex.org/keywords/recursive-least-squares-filter","display_name":"Recursive least squares filter","score":0.5817331075668335},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.579901397228241},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.5420390963554382},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5005590915679932},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4860706627368927},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.46743884682655334},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.45220187306404114},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.43907150626182556},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4247537851333618},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4160628914833069},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3968196213245392},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1986013948917389}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6216745972633362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6150537729263306},{"id":"https://openalex.org/C145249878","wikidata":"https://www.wikidata.org/wiki/Q2835868","display_name":"Recursive least squares filter","level":3,"score":0.5817331075668335},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.579901397228241},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.5420390963554382},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5005590915679932},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4860706627368927},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.46743884682655334},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.45220187306404114},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.43907150626182556},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4247537851333618},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4160628914833069},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3968196213245392},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1986013948917389},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2009.4959561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4959561","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W10435345","https://openalex.org/W1492221128","https://openalex.org/W1993038293","https://openalex.org/W1999542175","https://openalex.org/W2016100027","https://openalex.org/W2027750256","https://openalex.org/W2037791815","https://openalex.org/W2053917597","https://openalex.org/W2097884584","https://openalex.org/W2098443512","https://openalex.org/W2099205268","https://openalex.org/W2101609516","https://openalex.org/W2113519555","https://openalex.org/W2121995919","https://openalex.org/W2125659977","https://openalex.org/W2144244295","https://openalex.org/W2151473476","https://openalex.org/W2158281031","https://openalex.org/W2163084631","https://openalex.org/W6600410640","https://openalex.org/W6629420886","https://openalex.org/W6654629877","https://openalex.org/W6674818901"],"related_works":["https://openalex.org/W2081837274","https://openalex.org/W2164852895","https://openalex.org/W2027630946","https://openalex.org/W3119704784","https://openalex.org/W2544484136","https://openalex.org/W2529395309","https://openalex.org/W4282823030","https://openalex.org/W3134357585","https://openalex.org/W3040496336","https://openalex.org/W2013006297"],"abstract_inverted_index":{"One":[0],"fundamental":[1],"non-stationary":[2,88],"scenario":[3],"involves":[4],"a":[5,98,140],"time-varying":[6,34,46],"system":[7,89],"in":[8,25,85],"which":[9],"the":[10,13,17,30,37,53,60,68,72,82,94,102,107,113,125,135,144,148],"cross-correlation":[11],"between":[12],"input":[14],"signal":[15,39],"and":[16,56,106,146],"desired":[18],"response":[19],"is":[20,33,48],"time-varying.":[21],"This":[22],"case":[23],"occurs":[24],"speech":[26,38,77],"enhancement":[27],"applications,":[28],"where":[29],"optimal":[31,104],"solution":[32],"due":[35],"to":[36,50,57],"non-stationarity.":[40],"Adaptive":[41],"filtering":[42,99],"performance":[43,70],"analysis":[44],"of":[45,71,87,143],"systems":[47],"crucial":[49],"further":[51],"understand":[52],"tracking":[54,69],"behavior":[55],"dasiaoptimallypsila":[58],"design":[59],"update":[61],"schemes.":[62],"In":[63],"this":[64],"work,":[65],"we":[66,80,92,120],"investigate":[67],"adaptive":[73],"GSC":[74],"applied":[75],"for":[76,124,139],"denoising.":[78],"First,":[79],"interpret":[81],"noise":[83,110],"cancellation":[84],"terms":[86],"identification.":[90],"Then,":[91],"formulate":[93],"RLS":[95],"adaptation":[96],"as":[97],"operation":[100],"on":[101],"(time-varying)":[103],"filter":[105],"instantaneous":[108],"gradient":[109],"(induced":[111],"by":[112],"measurement":[114],"noise).":[115],"Under":[116],"some":[117],"structural":[118],"assumptions,":[119],"derive":[121],"an":[122],"expression":[123,137],"Excess":[126],"Mean":[127],"Squared":[128],"Error":[129],"(EMSE).":[130],"Monte-Carlo":[131],"simulations":[132],"show":[133],"that":[134],"proposed":[136],"allows":[138],"good":[141],"prediction":[142],"EMSE,":[145],"outperforms":[147],"state-of-the-art":[149],"approximations.":[150]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}