{"id":"https://openalex.org/W2767036578","doi":"https://doi.org/10.23919/eusipco.2017.8081202","title":"Sparsity promoting LMS for adaptive feedback cancellation","display_name":"Sparsity promoting LMS for adaptive feedback cancellation","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2767036578","doi":"https://doi.org/10.23919/eusipco.2017.8081202","mag":"2767036578"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2017.8081202","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2017.8081202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th European Signal Processing Conference (EUSIPCO)","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/A5028862537","display_name":"Ching-Hua Lee","orcid":"https://orcid.org/0000-0001-6116-3653"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ching-Hua Lee","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, San Diego"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, San Diego","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108088237","display_name":"Bhaskar D. Rao","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bhaskar D. Rao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, San Diego"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, San Diego","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077524190","display_name":"Harinath Garudadri","orcid":"https://orcid.org/0000-0003-0456-0956"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Harinath Garudadri","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, San Diego"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, San Diego","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028862537"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":2.401,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.88375151,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"226","last_page":"230"},"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":0.9998000264167786,"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/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/least-mean-squares-filter","display_name":"Least mean squares filter","score":0.6858397126197815},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6210541725158691},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5869562029838562},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.569921612739563},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.5590398907661438},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.5055792331695557},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.472688227891922},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.43679845333099365},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4212878942489624},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3978950083255768},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2371964454650879},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.12515732645988464},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11562198400497437}],"concepts":[{"id":"https://openalex.org/C32617633","wikidata":"https://www.wikidata.org/wiki/Q1426666","display_name":"Least mean squares filter","level":3,"score":0.6858397126197815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6210541725158691},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5869562029838562},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.569921612739563},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.5590398907661438},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.5055792331695557},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.472688227891922},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.43679845333099365},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4212878942489624},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3978950083255768},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2371964454650879},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.12515732645988464},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11562198400497437},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C68115822","wikidata":"https://www.wikidata.org/wiki/Q1068172","display_name":"Sound pressure","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco.2017.8081202","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2017.8081202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W87496662","https://openalex.org/W130830878","https://openalex.org/W158628425","https://openalex.org/W1481021577","https://openalex.org/W1582976041","https://openalex.org/W1654142233","https://openalex.org/W1977144816","https://openalex.org/W1982398019","https://openalex.org/W2015138357","https://openalex.org/W2036512040","https://openalex.org/W2046616728","https://openalex.org/W2048512122","https://openalex.org/W2099464104","https://openalex.org/W2105464681","https://openalex.org/W2107356812","https://openalex.org/W2130693895","https://openalex.org/W2143163931","https://openalex.org/W2143643945","https://openalex.org/W2152141981","https://openalex.org/W2158760189","https://openalex.org/W2171630840","https://openalex.org/W2207775409","https://openalex.org/W2284099814","https://openalex.org/W2397974105","https://openalex.org/W3145321633","https://openalex.org/W6628870895","https://openalex.org/W6681126137"],"related_works":["https://openalex.org/W2287235845","https://openalex.org/W2051390178","https://openalex.org/W2586228848","https://openalex.org/W2081837274","https://openalex.org/W2253481662","https://openalex.org/W2357454918","https://openalex.org/W2189195857","https://openalex.org/W1998353256","https://openalex.org/W2370278301","https://openalex.org/W2396048001"],"abstract_inverted_index":{"In":[0,73],"hearing":[1],"aids":[2],"(HAs),":[3],"the":[4,8,11,15,58,81,88,94,104,128,143,165,179],"acoustic":[5,89],"coupling":[6],"between":[7],"microphone":[9],"and":[10,22,57,125,171],"receiver":[12],"results":[13],"in":[14,86,119,142],"system":[16],"becoming":[17],"unstable":[18],"under":[19],"certain":[20],"conditions":[21],"causes":[23],"artifacts":[24],"commonly":[25,41],"referred":[26],"to":[27,43,69],"as":[28,100],"whistling":[29],"or":[30],"howling.":[31],"The":[32,52,117],"least":[33],"mean":[34],"square":[35],"(LMS)":[36],"class":[37],"of":[38,60,80,112,121,127,156,164],"algorithms":[39,137],"is":[40,131],"used":[42,68],"mitigate":[44],"this":[45,74],"by":[46],"providing":[47],"adaptive":[48],"feedback":[49,90,144],"cancellation":[50],"(AFC).":[51],"speech":[53,122,167],"quality":[54,154,168],"after":[55],"AFC":[56,66],"amount":[59],"added":[61],"stable":[62],"gain":[63],"(ASG)":[64],"with":[65,133,151,178],"are":[67],"assess":[70],"these":[71],"algorithms.":[72],"paper,":[75],"we":[76],"introduce":[77],"a":[78,101,160],"variant":[79],"LMS":[82,136,181],"that":[83],"promotes":[84],"sparsity":[85,113,141],"estimating":[87],"path.":[91,145],"By":[92],"using":[93],"l":[95],"<sub":[96],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[97],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">p</sub>":[98],"norm":[99],"diversity":[102],"measure,":[103],"approach":[105],"does":[106],"not":[107],"enforce,":[108],"but":[109],"takes":[110],"advantage":[111],"when":[114],"it":[115],"exists.":[116],"performance":[118],"terms":[120],"quality,":[123],"misalignment,":[124],"ASG":[126,175],"proposed":[129],"algorithm":[130],"compared":[132,150,177],"other":[134],"proportionate-type":[135],"which":[138],"also":[139],"leverage":[140],"We":[146],"demonstrate":[147],"faster":[148],"convergence":[149],"those":[152],"algorithms,":[153],"improvement":[155,176],"about":[157,172],"0.25":[158],"(on":[159],"0-1":[161],"objective":[162],"scale":[163],"hearing-aid":[166],"index":[169],"(HASQI)),":[170],"5":[173],"dB":[174],"normalized":[180],"(NLMS).":[182]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}