{"id":"https://openalex.org/W4220945962","doi":"https://doi.org/10.1109/icce53296.2022.9730207","title":"Robust Noise Canceller Algorithm with SNR-Based Stepsize Control and Gain Adjustment","display_name":"Robust Noise Canceller Algorithm with SNR-Based Stepsize Control and Gain Adjustment","publication_year":2022,"publication_date":"2022-01-07","ids":{"openalex":"https://openalex.org/W4220945962","doi":"https://doi.org/10.1109/icce53296.2022.9730207"},"language":"en","primary_location":{"id":"doi:10.1109/icce53296.2022.9730207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce53296.2022.9730207","pdf_url":null,"source":{"id":"https://openalex.org/S4363608007","display_name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","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/A5088165413","display_name":"Akihiko Sugiyama","orcid":"https://orcid.org/0000-0002-4296-3935"},"institutions":[{"id":"https://openalex.org/I2800095910","display_name":"Yahoo (Spain)","ror":"https://ror.org/03gq8sg42","country_code":"ES","type":"company","lineage":["https://openalex.org/I2800095910","https://openalex.org/I4210134091"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Akihiko Sugiyama","raw_affiliation_strings":["Yahoo! JAPAN Research, Yahoo Japan Corporation,Tokyo,JAPAN,211-8666","Yahoo&#x0021"],"affiliations":[{"raw_affiliation_string":"Yahoo! JAPAN Research, Yahoo Japan Corporation,Tokyo,JAPAN,211-8666","institution_ids":[]},{"raw_affiliation_string":"Yahoo&#x0021","institution_ids":["https://openalex.org/I2800095910"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5088165413"],"corresponding_institution_ids":["https://openalex.org/I2800095910"],"apc_list":null,"apc_paid":null,"fwci":0.1226,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.19778831,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"th p2 8","issue":null,"first_page":"1","last_page":"2"},"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":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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.996999979019165,"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":0.6436976790428162},{"id":"https://openalex.org/keywords/switchover","display_name":"Switchover","score":0.6164051294326782},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.603142261505127},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5407826900482178},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.461067259311676},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4516257345676422},{"id":"https://openalex.org/keywords/changeover","display_name":"Changeover","score":0.4458393454551697},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38474711775779724},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2687841057777405},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.1754591166973114},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15942320227622986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09208428859710693}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6436976790428162},{"id":"https://openalex.org/C124200919","wikidata":"https://www.wikidata.org/wiki/Q2373346","display_name":"Switchover","level":2,"score":0.6164051294326782},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.603142261505127},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5407826900482178},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.461067259311676},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4516257345676422},{"id":"https://openalex.org/C2780129190","wikidata":"https://www.wikidata.org/wiki/Q5071912","display_name":"Changeover","level":3,"score":0.4458393454551697},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38474711775779724},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2687841057777405},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.1754591166973114},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15942320227622986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09208428859710693},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce53296.2022.9730207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce53296.2022.9730207","pdf_url":null,"source":{"id":"https://openalex.org/S4363608007","display_name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2101609516","https://openalex.org/W2110075977","https://openalex.org/W2127961796","https://openalex.org/W2401041950","https://openalex.org/W4232851503","https://openalex.org/W6712619771"],"related_works":["https://openalex.org/W4386286239","https://openalex.org/W1521548618","https://openalex.org/W2385368614","https://openalex.org/W2276786401","https://openalex.org/W1488306886","https://openalex.org/W1578235985","https://openalex.org/W2391729463","https://openalex.org/W62059400","https://openalex.org/W2176689235","https://openalex.org/W3184824330"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,53,98,113,153],"robust":[4],"noise":[5,63,91,110],"canceller":[6],"algorithm":[7,124],"with":[8,106],"SNR-based":[9],"stepsize":[10,20,46],"control":[11,21],"and":[12,89,109,146],"gain":[13,134],"adjustment.":[14],"Use":[15],"of":[16],"estimated":[17,100],"SNRs":[18],"for":[19],"reduces":[22],"interference":[23],"by":[24,52,97,121],"the":[25,36,45,59,62,67,70,77,86,90,118,122,143,149],"target":[26],"signal":[27],"in":[28,142],"adaptation.":[29],"A":[30],"second":[31,68],"SNR":[32,55,72],"estimate,":[33],"which":[34,57],"is":[35,58,80,95,125],"output":[37,60],"over":[38,61],"an":[39,102],"adjusted":[40,96],"reference":[41,87],"input,":[42],"initially":[43],"controls":[44],"to":[47,69,92],"promote":[48],"coefficient":[49,78,119,144],"growth,":[50],"followed":[51],"first":[54,71],"estimate":[56,73],"replica.":[64],"Changeover":[65],"from":[66],"takes":[74],"place":[75],"when":[76],"growth":[79],"saturated.":[81],"The":[82],"power":[83],"gap":[84],"between":[85],"input":[88],"be":[93],"cancelled":[94],"factor":[99],"during":[101],"initial":[103,140],"period.":[104],"Evaluations":[105],"clean":[107],"speech":[108],"recorded":[111],"at":[112,152],"busy":[114],"station":[115],"demonstrate":[116],"that":[117,132],"error":[120,145],"proposed":[123],"as":[126,128],"much":[127],"8dB":[129],"smaller":[130],"than":[131],"without":[133],"adjustment":[135],"whereas":[136],"conventional":[137],"algorithms":[138],"exhibit":[139],"increase":[141],"never":[147],"reach":[148],"switchover":[150],"status":[151],"high":[154],"SNR.":[155]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}