{"id":"https://openalex.org/W2799529468","doi":"https://doi.org/10.1109/iscas.2018.8350888","title":"A Robust Variable Forgetting Factor QS-decomposition Algorithm for Subspace Tracking","display_name":"A Robust Variable Forgetting Factor QS-decomposition Algorithm for Subspace Tracking","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2799529468","doi":"https://doi.org/10.1109/iscas.2018.8350888","mag":"2799529468"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2018.8350888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2018.8350888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5084053130","display_name":"Jianqiang Lin","orcid":"https://orcid.org/0000-0002-2192-7855"},"institutions":[{"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":"J. Q. Lin","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057049452","display_name":"S. C. Chan","orcid":"https://orcid.org/0000-0001-7212-4182"},"institutions":[{"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 and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.02231628,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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":0.9993000030517578,"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":0.9991999864578247,"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":0.6478090882301331},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6366674900054932},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6287656426429749},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.612250566482544},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5241977572441101},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45457547903060913},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.416611909866333},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3579556345939636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18899720907211304}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6478090882301331},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6366674900054932},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6287656426429749},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.612250566482544},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5241977572441101},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45457547903060913},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.416611909866333},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3579556345939636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18899720907211304},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2018.8350888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2018.8350888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1975588945","https://openalex.org/W2032592425","https://openalex.org/W2036492187","https://openalex.org/W2037229515","https://openalex.org/W2050003337","https://openalex.org/W2067592965","https://openalex.org/W2128131274","https://openalex.org/W2133515443","https://openalex.org/W2134133088","https://openalex.org/W2136020799","https://openalex.org/W2144799407","https://openalex.org/W2147154807","https://openalex.org/W2150004236","https://openalex.org/W2152987686","https://openalex.org/W2586711478","https://openalex.org/W6679584440"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2364594919","https://openalex.org/W2167092671","https://openalex.org/W1861706286","https://openalex.org/W2219338811","https://openalex.org/W2149583853","https://openalex.org/W2143002539","https://openalex.org/W3006513224","https://openalex.org/W1995723671","https://openalex.org/W2164647769"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposed":[2,23,69,111,130],"a":[3,35],"robust":[4,131],"variable":[5],"forgetting":[6,64],"factor":[7,65],"(VFF)":[8],"QS-decomposition":[9,19],"algorithm":[10,20,51,67,81,133],"for":[11],"subspace":[12,30,48],"tracking":[13,49,85],"in":[14,93,123,140,151],"impulse":[15],"noise":[16],"environment.":[17],"The":[18],"was":[21],"originally":[22],"to":[24,72,82,105,136],"estimate":[25],"recursively":[26],"the":[27,41,45,53,61,79,100,107,110,129,146,152],"principal":[28],"orthonormal":[29],"of":[31,34,109,154],"covariance":[32],"matrix":[33],"vector":[36],"time":[37],"series.":[38],"Motivated":[39],"by":[40],"close":[42],"relationship":[43],"between":[44],"projection":[46],"approximation":[47],"(PAST)":[50],"and":[52,75,86,95,142],"recursive":[54],"least":[55],"squares":[56,90],"(RLS)":[57],"with":[58],"multiple":[59,73],"outputs,":[60],"local":[62],"optimal":[63],"(LOFF)":[66],"recently":[68],"is":[70,76,103,134],"extended":[71],"outputs":[74],"incorporated":[77],"into":[78],"QS":[80,148],"improve":[83,106],"its":[84],"steady":[87],"state":[88],"mean":[89],"error":[91],"performances":[92],"nonstationary":[94,143],"stationary":[96,141],"environment":[97],"respectively.":[98],"Furthermore,":[99],"M-estimation":[101],"function":[102],"employed":[104],"robustness":[108],"VFF":[112],"QS-tracker":[113],"against":[114],"possible":[115],"impulses":[116],"or":[117],"outliers":[118],"which":[119],"may":[120],"be":[121],"encountered":[122],"practice.":[124],"Experimental":[125],"results":[126],"show":[127],"that":[128],"VFF-QS":[132],"able":[135],"achieve":[137],"better":[138],"performance":[139],"environments":[144],"than":[145],"conventional":[147],"algorithm,":[149],"especially":[150],"presence":[153],"impulsive":[155],"noise.":[156]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
