{"id":"https://openalex.org/W4288062221","doi":"https://doi.org/10.1109/lsp.2022.3193850","title":"Performance Analysis of Fractional-Order Adaptive Filtering Algorithm and Its Improvement","display_name":"Performance Analysis of Fractional-Order Adaptive Filtering Algorithm and Its Improvement","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4288062221","doi":"https://doi.org/10.1109/lsp.2022.3193850"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2022.3193850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2022.3193850","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/A5081118351","display_name":"Lei Li","orcid":"https://orcid.org/0000-0002-1262-9733"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Li","raw_affiliation_strings":["School of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-1262-9733","affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101890639","display_name":"Yi\u2010Fei Pu","orcid":"https://orcid.org/0000-0003-2975-4976"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi-Fei Pu","raw_affiliation_strings":["School of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-2975-4976","affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077409701","display_name":"Xuetao Xie","orcid":"https://orcid.org/0000-0002-9051-0201"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuetao Xie","raw_affiliation_strings":["School of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-9051-0201","affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6607,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.8065367,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"29","issue":null,"first_page":"1853","last_page":"1857"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9984999895095825,"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/T10860","display_name":"Speech and Audio Processing","score":0.9976999759674072,"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/algorithm","display_name":"Algorithm","score":0.7327216267585754},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5932677984237671},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.559569776058197},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.5478125214576721},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49053019285202026},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4279041886329651},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3752402067184448}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7327216267585754},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5932677984237671},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.559569776058197},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.5478125214576721},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49053019285202026},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4279041886329651},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3752402067184448},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2022.3193850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2022.3193850","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G393958254","display_name":null,"funder_award_id":"62171303","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1966553738","https://openalex.org/W1996776537","https://openalex.org/W1999225362","https://openalex.org/W2103158338","https://openalex.org/W2135160607","https://openalex.org/W2152987686","https://openalex.org/W2259227674","https://openalex.org/W2469071841","https://openalex.org/W2528194423","https://openalex.org/W2559509262","https://openalex.org/W2888007202","https://openalex.org/W2901384774","https://openalex.org/W2955723955","https://openalex.org/W2963134661","https://openalex.org/W2963931949","https://openalex.org/W3013192954","https://openalex.org/W3014798951","https://openalex.org/W3024853581","https://openalex.org/W3028216100","https://openalex.org/W3091814421","https://openalex.org/W3153656615","https://openalex.org/W4225984592","https://openalex.org/W4243330440","https://openalex.org/W7043763293"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2504004674","https://openalex.org/W1987679298","https://openalex.org/W2073681303","https://openalex.org/W2963177394","https://openalex.org/W4313359513","https://openalex.org/W2498744856","https://openalex.org/W4390482104","https://openalex.org/W322408318","https://openalex.org/W149041114"],"abstract_inverted_index":{"Considering":[0],"the":[1,22,27,36,50,69,75,78,83,86],"<inline-formula><tex-math":[2],"notation=\"LaTeX\">$":[3],"\\alpha$</tex-math></inline-formula>-stable":[4],"input":[5],"signals":[6],"and":[7,55,81],"noises,":[8],"several":[9],"robust":[10],"fractional-order":[11,61],"adaptive":[12,62],"filtering":[13,63],"algorithms":[14],"have":[15],"been":[16,32],"proposed":[17,87],"in":[18,35,89],"recent":[19],"years.":[20],"However,":[21],"mean-square":[23,46],"performance":[24,47],"analysis":[25,48,80],"of":[26,49,77,85],"FoAF":[28,51],"algorithm":[29,64,88],"has":[30],"not":[31],"well":[33],"studied":[34],"literature.":[37],"Toward":[38],"that":[39],"end,":[40],"this":[41],"letter":[42],"provide":[43],"a":[44],"theoretical":[45,79],"algorithm,":[52],"involving":[53],"transient":[54],"steady-state":[56],"behavior.":[57],"Furthermore,":[58],"an":[59],"improved":[60],"is":[65],"derived":[66],"by":[67],"utilizing":[68],"M-estimate":[70],"technique.":[71],"Simulation":[72],"experiments":[73],"verify":[74],"results":[76],"demonstrate":[82],"advantages":[84],"heavy-tailed":[90],"non-Gaussian":[91],"environments.":[92]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
