{"id":"https://openalex.org/W4226214458","doi":"https://doi.org/10.1109/lsp.2022.3169428","title":"A Hybrid SFANC-FxNLMS Algorithm for Active Noise Control Based on Deep Learning","display_name":"A Hybrid SFANC-FxNLMS Algorithm for Active Noise Control Based on Deep Learning","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4226214458","doi":"https://doi.org/10.1109/lsp.2022.3169428"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2022.3169428","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2022.3169428","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2208.08082","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016292956","display_name":"Zhengding Luo","orcid":"https://orcid.org/0000-0002-2694-5059"},"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":true,"raw_author_name":"Zhengding Luo","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-2694-5059","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"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/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":"Dongyuan Shi","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-0768-6386","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"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":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-7143-1823","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016292956"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":9.6311,"has_fulltext":false,"cited_by_count":65,"citation_normalized_percentile":{"value":0.99341666,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"29","issue":null,"first_page":"1102","last_page":"1106"},"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/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.9994000196456909,"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/T10860","display_name":"Speech and Audio Processing","score":0.9994000196456909,"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/computer-science","display_name":"Computer science","score":0.6779199838638306},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5768004059791565},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5370451807975769},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5241166353225708},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5170746445655823},{"id":"https://openalex.org/keywords/active-noise-control","display_name":"Active noise control","score":0.4672159254550934},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.45388704538345337},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.4468473196029663},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.42003798484802246},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2825573682785034},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.10072264075279236}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6779199838638306},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5768004059791565},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5370451807975769},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5241166353225708},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5170746445655823},{"id":"https://openalex.org/C100342000","wikidata":"https://www.wikidata.org/wiki/Q583234","display_name":"Active noise control","level":3,"score":0.4672159254550934},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.45388704538345337},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.4468473196029663},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.42003798484802246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2825573682785034},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.10072264075279236},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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.2022.3169428","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2022.3169428","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:arXiv.org:2208.08082","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2208.08082","pdf_url":"https://arxiv.org/pdf/2208.08082","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2208.08082","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2208.08082","pdf_url":"https://arxiv.org/pdf/2208.08082","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W237168799","https://openalex.org/W250076511","https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1575014240","https://openalex.org/W1836465849","https://openalex.org/W1996939192","https://openalex.org/W2035424729","https://openalex.org/W2049829792","https://openalex.org/W2068739229","https://openalex.org/W2069379607","https://openalex.org/W2079513237","https://openalex.org/W2088446850","https://openalex.org/W2097117768","https://openalex.org/W2101181240","https://openalex.org/W2115433244","https://openalex.org/W2147952819","https://openalex.org/W2194775991","https://openalex.org/W2523192660","https://openalex.org/W2529337537","https://openalex.org/W2561537588","https://openalex.org/W2803618267","https://openalex.org/W2901720572","https://openalex.org/W2938772728","https://openalex.org/W2949576667","https://openalex.org/W2980060632","https://openalex.org/W2995549093","https://openalex.org/W3013573734","https://openalex.org/W3017656919","https://openalex.org/W3021978301","https://openalex.org/W3024869786","https://openalex.org/W3046019867","https://openalex.org/W3101587369","https://openalex.org/W3141042598","https://openalex.org/W3160120242","https://openalex.org/W3195967027","https://openalex.org/W3198804859","https://openalex.org/W3214919611","https://openalex.org/W4211264489","https://openalex.org/W4233159434","https://openalex.org/W4246193833","https://openalex.org/W4376848328","https://openalex.org/W4385682107","https://openalex.org/W4394645140","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6634262618","https://openalex.org/W6638667902","https://openalex.org/W6760385162","https://openalex.org/W6763595074","https://openalex.org/W6775019531","https://openalex.org/W6855540269"],"related_works":["https://openalex.org/W634309863","https://openalex.org/W2770593030","https://openalex.org/W3187758724","https://openalex.org/W3154990682","https://openalex.org/W4281727072","https://openalex.org/W2484756741","https://openalex.org/W2368527995","https://openalex.org/W2737660330","https://openalex.org/W4210609511","https://openalex.org/W2386284704"],"abstract_inverted_index":{"The":[0],"selective":[1],"fixed-filter":[2],"active":[3],"noise":[4,18,69,90,167],"control":[5,12,114,136],"(SFANC)":[6],"method":[7],"selecting":[8],"the":[9,39,45,81,94,110,120,124,130,133,139,144,148,155],"best":[10],"pre-trained":[11,113,135],"filters":[13],"for":[14,116],"various":[15],"types":[16],"of":[17,41,119,132,147,174],"can":[19,51,159],"achieve":[20,160],"a":[21,64,75,88,161,165,171],"fast":[22],"response":[23,163],"time.":[24],"However,":[25],"it":[26],"may":[27],"lead":[28],"to":[29,34,79,107,128,143],"large":[30],"steady-state":[31,54],"errors":[32,55],"due":[33],"inaccurate":[35],"filter":[36,115,137],"selection":[37],"and":[38,86,170],"lack":[40],"adaptability.":[42],"In":[43],"comparison,":[44],"filtered-X":[46],"normalized":[47],"least-mean-square":[48],"(FxNLMS)":[49],"algorithm":[50,126,158],"obtain":[52],"lower":[53],"through":[56],"adaptive":[57,82],"optimization.":[58],"Nonetheless,":[59],"its":[60],"slow":[61,84],"convergence":[62,85],"has":[63],"detrimental":[65],"effect":[66],"on":[67],"dynamic":[68],"attenuation.":[70],"Therefore,":[71],"this":[72],"paper":[73],"proposes":[74],"hybrid":[76,156],"SFANC-FxNLMS":[77,157],"approach":[78],"overcome":[80],"algorithm\u2019s":[83],"provide":[87],"better":[89],"reduction":[91,168],"level":[92],"than":[93],"SFANC":[95],"method.":[96],"A":[97],"lightweight":[98],"one-dimensional":[99],"convolutional":[100],"neural":[101],"network":[102],"(1D":[103],"CNN)":[104],"is":[105],"designed":[106],"automatically":[108],"select":[109],"most":[111],"suitable":[112],"each":[117],"frame":[118],"primary":[121],"noise.":[122],"Meanwhile,":[123],"FxNLMS":[125],"continues":[127],"update":[129],"coefficients":[131],"chosen":[134],"at":[138],"sampling":[140],"rate.":[141],"Owing":[142],"effective":[145],"combination":[146],"two":[149],"algorithms,":[150],"experimental":[151],"results":[152],"show":[153],"that":[154],"rapid":[162],"time,":[164],"low":[166],"error,":[169],"high":[172],"degree":[173],"robustness.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":31},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2022-05-05T00:00:00"}
