{"id":"https://openalex.org/W1543357339","doi":"https://doi.org/10.1109/iscas.2006.1693568","title":"A New Recursive Algorithm for Estimating the Adaptive Function Coefficients Autoregressive (AFAR) Models in Impulsive Noise Environment","display_name":"A New Recursive Algorithm for Estimating the Adaptive Function Coefficients Autoregressive (AFAR) Models in Impulsive Noise Environment","publication_year":2006,"publication_date":"2006-09-22","ids":{"openalex":"https://openalex.org/W1543357339","doi":"https://doi.org/10.1109/iscas.2006.1693568","mag":"1543357339"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2006.1693568","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2006.1693568","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Symposium on Circuits and Systems","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/A5057049452","display_name":"S. C. Chan","orcid":"https://orcid.org/0000-0001-7212-4182"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"S.C. Chan","raw_affiliation_strings":["Department of Electrical & Electronic Engineering, University of Hong Kong, Hong Kong, China","Dept. of Electr. & Electron. Eng., Hong Kong Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical & Electronic Engineering, University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Dept. of Electr. & Electron. Eng., Hong Kong Univ","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014374939","display_name":"W.Y. Lau","orcid":null},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"W.Y. Lau","raw_affiliation_strings":["Department of Electrical & Electronic Engineering, University of Hong Kong, Hong Kong, China","Dept. of Electr. & Electron. Eng., Hong Kong Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical & Electronic Engineering, University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Dept. of Electr. & Electron. Eng., Hong Kong Univ","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062450091","display_name":"C.H. Leung","orcid":null},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"C.H. Leung","raw_affiliation_strings":["Department of Electrical & Electronic Engineering, University of Hong Kong, Hong Kong, China","Dept. of Electr. & Electron. Eng., Hong Kong Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical & Electronic Engineering, University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Dept. of Electr. & Electron. Eng., Hong Kong Univ","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04379464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"4252","last_page":"4255"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9966999888420105,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9966999888420105,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9957000017166138,"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":0.9943000078201294,"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/autoregressive-model","display_name":"Autoregressive model","score":0.8492207527160645},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6776840090751648},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6354155540466309},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5870051980018616},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5516906976699829},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5018594264984131},{"id":"https://openalex.org/keywords/recursive-functions","display_name":"Recursive functions","score":0.46142369508743286},{"id":"https://openalex.org/keywords/recursive-bayesian-estimation","display_name":"Recursive Bayesian estimation","score":0.45815977454185486},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.45615991950035095},{"id":"https://openalex.org/keywords/recursive-least-squares-filter","display_name":"Recursive least squares filter","score":0.446444034576416},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.44175225496292114},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4303261935710907},{"id":"https://openalex.org/keywords/autoregressive\u2013moving-average-model","display_name":"Autoregressive\u2013moving-average model","score":0.41865167021751404},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.38790205121040344},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3568613529205322},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2137261927127838},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18343204259872437},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.09253248572349548},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08070459961891174}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.8492207527160645},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6776840090751648},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6354155540466309},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5870051980018616},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5516906976699829},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5018594264984131},{"id":"https://openalex.org/C2982939207","wikidata":"https://www.wikidata.org/wiki/Q1175101","display_name":"Recursive functions","level":2,"score":0.46142369508743286},{"id":"https://openalex.org/C40343088","wikidata":"https://www.wikidata.org/wiki/Q3059012","display_name":"Recursive Bayesian estimation","level":3,"score":0.45815977454185486},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.45615991950035095},{"id":"https://openalex.org/C145249878","wikidata":"https://www.wikidata.org/wiki/Q2835868","display_name":"Recursive least squares filter","level":3,"score":0.446444034576416},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.44175225496292114},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4303261935710907},{"id":"https://openalex.org/C74883015","wikidata":"https://www.wikidata.org/wiki/Q290467","display_name":"Autoregressive\u2013moving-average model","level":3,"score":0.41865167021751404},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.38790205121040344},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3568613529205322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2137261927127838},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18343204259872437},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.09253248572349548},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08070459961891174},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iscas.2006.1693568","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2006.1693568","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Symposium on Circuits and Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:hub.hku.hk:10722/99287","is_oa":false,"landing_page_url":"http://hdl.handle.net/10722/99287","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference_Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1855035704","https://openalex.org/W1979165199","https://openalex.org/W2068484625","https://openalex.org/W2150709895","https://openalex.org/W2163349176","https://openalex.org/W2167055721","https://openalex.org/W2167770537","https://openalex.org/W2489822048","https://openalex.org/W2792296590","https://openalex.org/W3122159407","https://openalex.org/W4238717354","https://openalex.org/W6638544419","https://openalex.org/W6684753745"],"related_works":["https://openalex.org/W2081837274","https://openalex.org/W2164852895","https://openalex.org/W2027630946","https://openalex.org/W3119704784","https://openalex.org/W2529395309","https://openalex.org/W4282823030","https://openalex.org/W3134357585","https://openalex.org/W3040496336","https://openalex.org/W2013006297","https://openalex.org/W2144530466"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,30],"recursive":[4,18],"algorithm":[5,36,52,60],"for":[6],"estimating":[7],"the":[8,41,50,57],"adaptive":[9],"function":[10],"coefficients":[11],"autoregressive":[12],"(AFAR)":[13],"models.":[14],"Due":[15],"to":[16,39],"its":[17,20],"nature,":[19],"arithmetic":[21],"complexity":[22],"is":[23,37],"relatively":[24],"lower":[25],"than":[26,56],"conventional":[27,58],"methods.":[28],"Furthermore,":[29],"new":[31],"M-estimation-based":[32,51],"AFAR":[33],"parameter":[34],"estimation":[35],"developed":[38],"suppress":[40],"effect":[42],"of":[43],"impulsive":[44],"outliers.":[45],"Simulation":[46],"results":[47],"show":[48],"that":[49],"offers":[53],"improved":[54],"performance":[55],"LS-based":[59]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}