{"id":"https://openalex.org/W7147414647","doi":"https://doi.org/10.1109/cnml68938.2026.11453273","title":"Active Noise Control Based on Gauss-Hermite Fourier Features and Generalized Maximum Correntropy Criterion","display_name":"Active Noise Control Based on Gauss-Hermite Fourier Features and Generalized Maximum Correntropy Criterion","publication_year":2026,"publication_date":"2026-01-30","ids":{"openalex":"https://openalex.org/W7147414647","doi":"https://doi.org/10.1109/cnml68938.2026.11453273"},"language":null,"primary_location":{"id":"doi:10.1109/cnml68938.2026.11453273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cnml68938.2026.11453273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on Communication Networks and Machine Learning (CNML)","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/A5086151172","display_name":"Zhicheng Ye","orcid":null},"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":true,"raw_author_name":"Zhicheng Ye","raw_affiliation_strings":["Southwest University,College of Electronic and Information Engineering,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Southwest University,College of Electronic and Information Engineering,Chongqing,China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132725839","display_name":"Shiyuan Wang","orcid":null},"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,College of Electronic and Information Engineering,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Southwest University,College of Electronic and Information Engineering,Chongqing,China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5132554767","display_name":"Yunfei Zheng","orcid":null},"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,College of Electronic and Information Engineering,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Southwest University,College of Electronic and Information Engineering,Chongqing,China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086151172"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.89832372,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"101","last_page":"104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9965000152587891,"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":0.9965000152587891,"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":0.0005000000237487257,"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/T11236","display_name":"Control Systems and Identification","score":0.00039999998989515007,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.6274999976158142},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.586899995803833},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5425999760627747},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5418000221252441},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.47189998626708984},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.3709000051021576},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.36329999566078186},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.34360000491142273}],"concepts":[{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.6274999976158142},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.586899995803833},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5530999898910522},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5425999760627747},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5418000221252441},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5031999945640564},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.47189998626708984},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42890000343322754},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.3709000051021576},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.36329999566078186},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.34360000491142273},{"id":"https://openalex.org/C207864730","wikidata":"https://www.wikidata.org/wiki/Q179467","display_name":"Fourier series","level":2,"score":0.34299999475479126},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.33799999952316284},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.3312000036239624},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.33000001311302185},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3174999952316284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3156000077724457},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C2986577269","wikidata":"https://www.wikidata.org/wiki/Q11306265","display_name":"Random noise","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C129997835","wikidata":"https://www.wikidata.org/wiki/Q806263","display_name":"Bandlimiting","level":3,"score":0.25780001282691956},{"id":"https://openalex.org/C114996537","wikidata":"https://www.wikidata.org/wiki/Q4854529","display_name":"Colors of noise","level":3,"score":0.2556999921798706}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cnml68938.2026.11453273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cnml68938.2026.11453273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on Communication Networks and Machine Learning (CNML)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324805","display_name":"Chongqing Municipal Education Commission","ror":"https://ror.org/031nm5713"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1989732614","https://openalex.org/W2523158658","https://openalex.org/W2802257323","https://openalex.org/W3024853581","https://openalex.org/W3041047404","https://openalex.org/W3125009824","https://openalex.org/W3190131134","https://openalex.org/W4313429672","https://openalex.org/W4362660495","https://openalex.org/W4379881648","https://openalex.org/W4388688018","https://openalex.org/W4403270203","https://openalex.org/W4403447287","https://openalex.org/W4409917719","https://openalex.org/W4410428666","https://openalex.org/W4410490776"],"related_works":[],"abstract_inverted_index":{"Random":[0],"Fourier":[1,64],"features":[2,65],"(RFF)":[3],"combined":[4],"with":[5],"the":[6,22,35,60,68,104],"mean-square":[7],"error":[8],"(MSE)":[9],"criterion":[10,37,72],"have":[11],"been":[12],"widely":[13],"used":[14],"in":[15,43],"active":[16],"noise":[17,45,110,115],"control":[18],"(ANC)":[19],"systems.":[20],"However,":[21],"inherent":[23],"randomness":[24],"of":[25],"RFF":[26],"can":[27,107],"introduce":[28],"approximation":[29,86],"variance":[30],"and":[31,67,83],"performance":[32,112],"instability.":[33],"Additionally,":[34],"MSE":[36],"is":[38],"particularly":[39],"sensitive":[40],"to":[41,58],"outliers":[42],"non-Gaussian":[44,98],"environments.":[46],"To":[47],"overcome":[48],"these":[49],"limitations,":[50],"this":[51],"paper":[52],"proposes":[53],"an":[54],"enhanced":[55,95],"ANC":[56],"algorithm":[57],"integrate":[59],"recently":[61],"proposed":[62,105],"Gauss\u2013Hermite":[63,77],"(GHFF)":[66],"generalized":[69],"maximum":[70],"correntropy":[71],"(GMCC).":[73],"By":[74],"adopting":[75],"deterministic":[76],"quadrature,":[78],"GHFF":[79],"enables":[80],"more":[81],"accurate":[82],"stable":[84],"kernel":[85],"within":[87],"a":[88],"finite-dimensional":[89],"feature":[90],"space.":[91],"Simultaneously,":[92],"GMCC":[93],"provides":[94],"robustness":[96],"against":[97],"disturbances.":[99],"Simulation":[100],"results":[101],"demonstrate":[102],"that":[103],"method":[106],"achieve":[108],"superior":[109],"reduction":[111],"under":[113],"different":[114],"conditions.":[116]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-04-02T00:00:00"}
