{"id":"https://openalex.org/W4313429672","doi":"https://doi.org/10.1109/taslp.2022.3230545","title":"Generalized Hyperbolic Tangent Based Random Fourier Conjugate Gradient Filter for Nonlinear Active Noise Control","display_name":"Generalized Hyperbolic Tangent Based Random Fourier Conjugate Gradient Filter for Nonlinear Active Noise Control","publication_year":2022,"publication_date":"2022-12-19","ids":{"openalex":"https://openalex.org/W4313429672","doi":"https://doi.org/10.1109/taslp.2022.3230545"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2022.3230545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2022.3230545","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"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/ACM Transactions on Audio, Speech, and Language Processing","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/A5087902694","display_name":"Yingying Xiao","orcid":"https://orcid.org/0000-0001-7772-8778"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingying Xiao","raw_affiliation_strings":["College of Electronic and Information Engineering, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0001-7772-8778","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071073376","display_name":"Shanmou Chen","orcid":"https://orcid.org/0000-0002-1422-9717"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanmou Chen","raw_affiliation_strings":["College of Electronic and Information Engineering, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-1422-9717","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101646687","display_name":"Qiangqiang Zhang","orcid":"https://orcid.org/0000-0002-3683-4520"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiangqiang Zhang","raw_affiliation_strings":["College of Electronic and Information Engineering, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-3683-4520","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027182060","display_name":"Dongyuan Lin","orcid":"https://orcid.org/0000-0002-7451-2477"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyuan Lin","raw_affiliation_strings":["College of Electronic and Information Engineering, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-7451-2477","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103275889","display_name":"Minglin Shen","orcid":"https://orcid.org/0000-0001-8170-1930"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minglin Shen","raw_affiliation_strings":["College of Electronic and Information Engineering, Southwest University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025136019","display_name":"Junhui Qian","orcid":"https://orcid.org/0000-0001-8017-725X"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhui Qian","raw_affiliation_strings":["School of Microelectronic and Communication Engineering, Chongqing University, Chongqing, China","Chongqing Key Laboratory of Bio-perception and Intelligent Information Processing, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0001-8017-725X","affiliations":[{"raw_affiliation_string":"School of Microelectronic and Communication Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"Chongqing Key Laboratory of Bio-perception and Intelligent Information Processing, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100640301","display_name":"Shiyuan Wang","orcid":"https://orcid.org/0000-0002-5028-5839"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyuan Wang","raw_affiliation_strings":["College of Electronic and Information Engineering, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-5028-5839","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7765,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.95333876,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"31","issue":null,"first_page":"619","last_page":"632"},"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":0.9993000030517578,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9983000159263611,"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/conjugate-gradient-method","display_name":"Conjugate gradient method","score":0.6164761781692505},{"id":"https://openalex.org/keywords/nonlinear-conjugate-gradient-method","display_name":"Nonlinear conjugate gradient method","score":0.6013866662979126},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5903518795967102},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5601269602775574},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5539280772209167},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.45533958077430725},{"id":"https://openalex.org/keywords/sigmoid-function","display_name":"Sigmoid function","score":0.4426463842391968},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4281958043575287},{"id":"https://openalex.org/keywords/tangent","display_name":"Tangent","score":0.42442387342453003},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3826369643211365},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3089878559112549},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2563435435295105},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.23476624488830566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17109879851341248},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09430485963821411}],"concepts":[{"id":"https://openalex.org/C81184566","wikidata":"https://www.wikidata.org/wiki/Q1191895","display_name":"Conjugate gradient method","level":2,"score":0.6164761781692505},{"id":"https://openalex.org/C26362088","wikidata":"https://www.wikidata.org/wiki/Q17086453","display_name":"Nonlinear conjugate gradient method","level":4,"score":0.6013866662979126},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5903518795967102},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5601269602775574},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5539280772209167},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.45533958077430725},{"id":"https://openalex.org/C81388566","wikidata":"https://www.wikidata.org/wiki/Q526668","display_name":"Sigmoid function","level":3,"score":0.4426463842391968},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4281958043575287},{"id":"https://openalex.org/C138187205","wikidata":"https://www.wikidata.org/wiki/Q131251","display_name":"Tangent","level":2,"score":0.42442387342453003},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3826369643211365},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3089878559112549},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2563435435295105},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.23476624488830566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17109879851341248},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09430485963821411},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2022.3230545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2022.3230545","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"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/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1694843851","display_name":null,"funder_award_id":"cstc2020jcyj-msxmX0234","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G230063549","display_name":null,"funder_award_id":"62071391","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1964239423","https://openalex.org/W2005544350","https://openalex.org/W2042683269","https://openalex.org/W2060998893","https://openalex.org/W2066360048","https://openalex.org/W2101181240","https://openalex.org/W2101620555","https://openalex.org/W2123193976","https://openalex.org/W2127612962","https://openalex.org/W2135160607","https://openalex.org/W2136885855","https://openalex.org/W2146023156","https://openalex.org/W2155031132","https://openalex.org/W2165218755","https://openalex.org/W2168943699","https://openalex.org/W2169692087","https://openalex.org/W2172055358","https://openalex.org/W2185170263","https://openalex.org/W2256521743","https://openalex.org/W2313337980","https://openalex.org/W2523158658","https://openalex.org/W2552414473","https://openalex.org/W2595807371","https://openalex.org/W2766562969","https://openalex.org/W2769151994","https://openalex.org/W2781506223","https://openalex.org/W2781535465","https://openalex.org/W2791389272","https://openalex.org/W2794853202","https://openalex.org/W2802257323","https://openalex.org/W2909475663","https://openalex.org/W2935181452","https://openalex.org/W2943947356","https://openalex.org/W2946462004","https://openalex.org/W2954846140","https://openalex.org/W2995490567","https://openalex.org/W2996335241","https://openalex.org/W3015129565","https://openalex.org/W3024853581","https://openalex.org/W3033900565","https://openalex.org/W3041047404","https://openalex.org/W3046019867","https://openalex.org/W3113020185","https://openalex.org/W3125009824","https://openalex.org/W3134771994","https://openalex.org/W3136090220","https://openalex.org/W3166719495","https://openalex.org/W3190131134","https://openalex.org/W3213828748","https://openalex.org/W4200152197","https://openalex.org/W4205144172","https://openalex.org/W4230367971","https://openalex.org/W4243330440","https://openalex.org/W6630221688","https://openalex.org/W6791558059"],"related_works":["https://openalex.org/W2098528027","https://openalex.org/W2375129592","https://openalex.org/W2060532089","https://openalex.org/W3159557833","https://openalex.org/W2005717169","https://openalex.org/W2183734858","https://openalex.org/W4387168483","https://openalex.org/W4319027779","https://openalex.org/W2941778027","https://openalex.org/W3131790919"],"abstract_inverted_index":{"The":[0,106],"filtered-x":[1,96],"least":[2],"mean":[3,22],"square":[4,23],"(FxLMS)":[5],"algorithm":[6,101],"has":[7],"been":[8],"proposed":[9,103,166],"for":[10,32,104],"an":[11],"active":[12],"noise":[13],"control":[14],"(ANC)":[15],"system.":[16],"However,":[17],"due":[18],"to":[19,69,154],"the":[20,55,62,71,78,84,110,128,156,165],"used":[21,68],"error":[24],"(MSE)":[25],"criterion,":[26,86],"FxLMS":[27],"suffers":[28],"from":[29],"performance":[30],"degeneration":[31],"non-Gaussian":[33],"noises,":[34,138,151],"dramatically.":[35],"To":[36],"address":[37,70],"this":[38,52],"issue,":[39],"a":[40,89],"novel":[41,90],"robust":[42,91],"generalized":[43,97],"hyperbolic":[44,98],"tangent":[45,99],"(GHT)":[46],"criterion":[47],"is":[48,102],"first":[49],"constructed":[50],"in":[51,74],"paper.":[53],"Then,":[54],"random":[56,92],"Fourier":[57,93],"features":[58],"(RFF)":[59],"method":[60,66],"and":[61,76,112,132,148,159],"conjugate":[63,94],"gradient":[64,95],"(CG)":[65],"are":[67,117,152],"nonlinearity":[72],"existing":[73],"ANC":[75,124],"solve":[77],"quadratic":[79],"optimization":[80],"problem":[81],"induced":[82],"by":[83,127],"GHT":[85],"respectively.":[87],"Finally,":[88],"(RFCGFxGHT)":[100],"ANC.":[105],"theoretical":[107],"analyses":[108],"regarding":[109],"convergence":[111],"computational":[113],"complexity":[114],"of":[115,164],"RFCGFxGHT":[116],"also":[118],"derived.":[119],"Simulation":[120],"experiments":[121],"on":[122],"nonlinear":[123,161],"systems":[125],"corrupted":[126],"synthetic":[129],"logistic":[130],"chaotic":[131],"<inline-formula":[133],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[134],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[135],"notation=\"LaTeX\">$\\alpha$</tex-math></inline-formula>":[136],"-stable":[137],"as":[139,141],"well":[140],"real-world":[142],"functional":[143],"magnetic":[144],"resonance":[145],"imaging":[146],"(fMRI)":[147],"server":[149],"room":[150],"conducted":[153],"confirm":[155],"effectiveness,":[157],"robustness,":[158],"desirable":[160],"learning":[162],"ability":[163],"algorithm.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":6}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}