{"id":"https://openalex.org/W4410949607","doi":"https://doi.org/10.1109/lsp.2025.3576033","title":"Data-Driven Method to Accelerate Convergence of Adaptive Hybrid Active Noise Control: Two-Stage Model-Agnostic Meta-Learning","display_name":"Data-Driven Method to Accelerate Convergence of Adaptive Hybrid Active Noise Control: Two-Stage Model-Agnostic Meta-Learning","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410949607","doi":"https://doi.org/10.1109/lsp.2025.3576033"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2025.3576033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3576033","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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/A5085535523","display_name":"Xiaoyi Shen","orcid":"https://orcid.org/0000-0003-4883-3514"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyi Shen","raw_affiliation_strings":["State Key Laboratory of Acoustics and Marine Information, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4883-3514","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Acoustics and Marine Information, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007698128","display_name":"Dongyuan Shi","orcid":"https://orcid.org/0000-0003-0768-6386"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyuan Shi","raw_affiliation_strings":["Center of Intelligent Acoustics and Immersive Communications, Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0003-0768-6386","affiliations":[{"raw_affiliation_string":"Center of Intelligent Acoustics and Immersive Communications, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072584895","display_name":"Woon\u2010Seng Gan","orcid":"https://orcid.org/0000-0002-7143-1823"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Woon-Seng Gan","raw_affiliation_strings":["Digital Signal Processing Lab, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-7143-1823","affiliations":[{"raw_affiliation_string":"Digital Signal Processing Lab, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.398,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.92261831,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"32","issue":null,"first_page":"2654","last_page":"2658"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7080737948417664},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6782345175743103},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.6156437993049622},{"id":"https://openalex.org/keywords/active-noise-control","display_name":"Active noise control","score":0.5253921151161194},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5223344564437866},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.4942515194416046},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.455061674118042},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.4332059919834137},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.3654489517211914},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33262789249420166},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.2892068028450012},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10823240876197815}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7080737948417664},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6782345175743103},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.6156437993049622},{"id":"https://openalex.org/C100342000","wikidata":"https://www.wikidata.org/wiki/Q583234","display_name":"Active noise control","level":3,"score":0.5253921151161194},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5223344564437866},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.4942515194416046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.455061674118042},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.4332059919834137},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3654489517211914},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33262789249420166},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.2892068028450012},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10823240876197815},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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":2,"locations":[{"id":"doi:10.1109/lsp.2025.3576033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3576033","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/217372","is_oa":false,"landing_page_url":"https://hdl.handle.net/10356/217372","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W237168799","https://openalex.org/W301580760","https://openalex.org/W1555207310","https://openalex.org/W2039430460","https://openalex.org/W2080773601","https://openalex.org/W2097693601","https://openalex.org/W2115433244","https://openalex.org/W2127048858","https://openalex.org/W2147952819","https://openalex.org/W2171281940","https://openalex.org/W2778840617","https://openalex.org/W2898603863","https://openalex.org/W2901720572","https://openalex.org/W2903907190","https://openalex.org/W2951446621","https://openalex.org/W3000172328","https://openalex.org/W3015723916","https://openalex.org/W3097560113","https://openalex.org/W3114104735","https://openalex.org/W3129818314","https://openalex.org/W3139447666","https://openalex.org/W3185471190","https://openalex.org/W3198804859","https://openalex.org/W4200152197","https://openalex.org/W4243277263","https://openalex.org/W4283804022","https://openalex.org/W4296773063","https://openalex.org/W4372260138","https://openalex.org/W4375869303","https://openalex.org/W4385486692","https://openalex.org/W4388820659","https://openalex.org/W4388914618","https://openalex.org/W4391179888","https://openalex.org/W4392337552","https://openalex.org/W4401525476","https://openalex.org/W4407274617","https://openalex.org/W6631943919","https://openalex.org/W6633228289","https://openalex.org/W6736057607","https://openalex.org/W6759172331"],"related_works":["https://openalex.org/W634309863","https://openalex.org/W3187758724","https://openalex.org/W2484756741","https://openalex.org/W2388504054","https://openalex.org/W2366504813","https://openalex.org/W2389103347","https://openalex.org/W4388481789","https://openalex.org/W2985282780","https://openalex.org/W2996551567","https://openalex.org/W4288086752"],"abstract_inverted_index":{"Hybrid":[0],"active":[1],"noise":[2,37,50],"control":[3,38,73],"(ANC)":[4],"is":[5],"widely":[6],"employed":[7],"in":[8],"portable":[9],"commercial":[10],"products":[11],"to":[12,65],"attenuate":[13],"both":[14],"broadband":[15,130],"and":[16,131],"narrowband":[17],"noise.":[18,133],"Although":[19],"the":[20,26,67,72,76,81,97,103,107],"adaptive":[21,85,121],"hybrid":[22,77,122],"ANC,":[23,78],"updated":[24],"by":[25],"filtered":[27],"reference":[28],"least":[29],"mean":[30],"square":[31],"(FxLMS)":[32],"algorithm,":[33],"can":[34],"achieve":[35],"optimal":[36,68,98],"even":[39],"with":[40],"uncorrelated":[41],"noise,":[42,108],"its":[43],"slow":[44],"convergence":[45,82,126],"speed":[46,127],"significantly":[47,124],"decreases":[48],"dynamic":[49],"reduction":[51],"performance.":[52],"To":[53],"address":[54],"this":[55,93],"challenge,":[56],"we":[57],"propose":[58],"a":[59],"two-stage":[60,117],"model-agnostic":[61],"meta-learning":[62],"(MAML)":[63],"approach":[64],"compute":[66],"initial":[69,99],"coefficients":[70,100],"of":[71,84,106,120],"filters":[74],"for":[75,128],"effectively":[79],"reducing":[80],"time":[83],"algorithms.":[86],"Different":[87],"from":[88],"conventional":[89],"variable":[90],"step-size":[91],"strategies,":[92],"data-driven":[94],"method":[95],"determines":[96],"based":[101],"on":[102],"statistical":[104],"characteristics":[105],"ensuring":[109],"system":[110],"stability.":[111],"Furthermore,":[112],"numerical":[113],"simulations":[114],"demonstrate":[115],"that":[116],"MAML":[118],"initialization":[119],"ANC":[123],"accelerates":[125],"attenuating":[129],"real-world":[132]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}