{"id":"https://openalex.org/W4412079392","doi":"https://doi.org/10.1145/3725988.3725993","title":"Gaussian Mixture Distribution Based Random Fourier Quasi Newton Algorithm for Nonlinear Active Noise Control","display_name":"Gaussian Mixture Distribution Based Random Fourier Quasi Newton Algorithm for Nonlinear Active Noise Control","publication_year":2025,"publication_date":"2025-02-21","ids":{"openalex":"https://openalex.org/W4412079392","doi":"https://doi.org/10.1145/3725988.3725993"},"language":"en","primary_location":{"id":"doi:10.1145/3725988.3725993","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3725988.3725993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 9th International Conference on Digital Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5109155638","display_name":"Tian Zhou","orcid":"https://orcid.org/0009-0008-1813-7773"},"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":"Tian Zhou","raw_affiliation_strings":["Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0008-1813-7773","affiliations":[{"raw_affiliation_string":"Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","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":["Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-5028-5839","affiliations":[{"raw_affiliation_string":"Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103276439","display_name":"Yunfei Zheng","orcid":"https://orcid.org/0000-0003-4026-2956"},"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":"Yunfei Zheng","raw_affiliation_strings":["Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0003-4026-2956","affiliations":[{"raw_affiliation_string":"Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","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":["Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-7451-2477","affiliations":[{"raw_affiliation_string":"Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9","last_page":"14"},"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/T11236","display_name":"Control Systems and Identification","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/gaussian-noise","display_name":"Gaussian noise","score":0.5978348851203918},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5449333786964417},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5408135056495667},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.540166437625885},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5170139074325562},{"id":"https://openalex.org/keywords/fourier-series","display_name":"Fourier series","score":0.4857369065284729},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.47756487131118774},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.46325477957725525},{"id":"https://openalex.org/keywords/random-noise","display_name":"Random noise","score":0.4345201253890991},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35053253173828125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22606053948402405},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.15406152606010437},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14028587937355042}],"concepts":[{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.5978348851203918},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5449333786964417},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5408135056495667},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.540166437625885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5170139074325562},{"id":"https://openalex.org/C207864730","wikidata":"https://www.wikidata.org/wiki/Q179467","display_name":"Fourier series","level":2,"score":0.4857369065284729},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.47756487131118774},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.46325477957725525},{"id":"https://openalex.org/C2986577269","wikidata":"https://www.wikidata.org/wiki/Q11306265","display_name":"Random noise","level":2,"score":0.4345201253890991},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35053253173828125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22606053948402405},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.15406152606010437},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14028587937355042},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3725988.3725993","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3725988.3725993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 9th International Conference on Digital Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.4399999976158142,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G3852805775","display_name":null,"funder_award_id":"CSTB2024NSCQ-MSX0234","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G8881119578","display_name":null,"funder_award_id":"62471406, and 62306245","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1701760339","https://openalex.org/W2101809033","https://openalex.org/W2123871098","https://openalex.org/W2481926318","https://openalex.org/W2494968998","https://openalex.org/W2523158658","https://openalex.org/W2781506223","https://openalex.org/W2801725476","https://openalex.org/W2909475663","https://openalex.org/W2943853279","https://openalex.org/W2946462004","https://openalex.org/W2954678237","https://openalex.org/W3041047404","https://openalex.org/W3041843255","https://openalex.org/W3045432329","https://openalex.org/W3131338793","https://openalex.org/W3183420805","https://openalex.org/W4200152197","https://openalex.org/W4213184394","https://openalex.org/W4313429672","https://openalex.org/W4322011441","https://openalex.org/W4381797918","https://openalex.org/W6721672544"],"related_works":["https://openalex.org/W1574935133","https://openalex.org/W3105828693","https://openalex.org/W2347963066","https://openalex.org/W1970319972","https://openalex.org/W2094657987","https://openalex.org/W2122827492","https://openalex.org/W2320412982","https://openalex.org/W4387646299","https://openalex.org/W2953254336","https://openalex.org/W2112030392"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,43,112],"novel":[4],"algorithm,":[5],"called":[6],"the":[7,17,25,62,72,78,85,91,102,108,120,129,134],"Gaussian":[8,44],"mixture":[9,45],"distribution":[10,46],"random":[11,36],"Fourier":[12,37],"L-BFGS":[13],"(GMRFLBFGS),":[14],"to":[15,47,83,118,127],"enhance":[16,101],"performance":[18],"of":[19,27,97,104,133],"kernel":[20],"adaptive":[21],"filters":[22],"(KAFs)":[23],"in":[24],"scenario":[26],"nonlinear":[28,49,56],"active":[29],"noise":[30],"control.":[31],"The":[32],"proposed":[33,109],"algorithm":[34,110],"leverages":[35],"feature":[38],"(RFF)":[39],"approach":[40],"based":[41],"on":[42],"perform":[48],"mapping,":[50],"which":[51,88],"can":[52],"effectively":[53],"capture":[54],"complex":[55],"relation":[57],"within":[58,77],"data":[59],"while":[60],"avoiding":[61],"structural":[63],"growth":[64],"issues":[65],"commonly":[66],"associated":[67],"with":[68],"standard":[69],"KAFs.":[70,98],"Furthermore,":[71],"limited-memory":[73],"Broyden-Fletcher-Goldfarb-Shanno":[74],"(L-BFGS)":[75],"method":[76],"quasi-Newton":[79],"framework":[80],"is":[81],"adopted":[82],"optimize":[84],"filtering":[86,95,131],"model,":[87],"further":[89,100],"improves":[90],"convergence":[92],"speed":[93],"and":[94],"accuracy":[96],"To":[99],"robustness":[103],"KAFs":[105],"against":[106],"outliers,":[107],"incorporates":[111],"general":[113],"similarity":[114],"measure":[115],"termed":[116],"correntropy":[117],"construct":[119],"cost":[121],"function.":[122],"Simulation":[123],"results":[124],"are":[125],"reported":[126],"demonstrate":[128],"desired":[130],"capabilities":[132],"GMRFLBFGS":[135],"algorithm.":[136]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}