{"id":"https://openalex.org/W1977677657","doi":"https://doi.org/10.1109/tim.2013.2272398","title":"Recursive Parametric Frequency/Spectrum Estimation for Nonstationary Signals With Impulsive Components Using Variable Forgetting Factor","display_name":"Recursive Parametric Frequency/Spectrum Estimation for Nonstationary Signals With Impulsive Components Using Variable Forgetting Factor","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W1977677657","doi":"https://doi.org/10.1109/tim.2013.2272398","mag":"1977677657"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2013.2272398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2013.2272398","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Transactions on Instrumentation and Measurement","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/A5068539185","display_name":"Zhi Guo Zhang","orcid":null},"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":"Zhi Guo Zhang","raw_affiliation_strings":["University of Hong Kong, Hong Kong","University of Hong Kong; Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"University of Hong Kong; Hong Kong, 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":"Shing-Chow Chan","raw_affiliation_strings":["University of Hong Kong, Hong Kong","University of Hong Kong; Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"University of Hong Kong; Hong Kong, 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":1.8992,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.85206931,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"62","issue":"12","first_page":"3251","last_page":"3264"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11447","display_name":"Blind Source Separation Techniques","score":0.9980999827384949,"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/T10573","display_name":"Power Quality and Harmonics","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/narrowband","display_name":"Narrowband","score":0.6616532802581787},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.561224639415741},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5414995551109314},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4641605019569397},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45062923431396484},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4445461630821228},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4445452392101288},{"id":"https://openalex.org/keywords/recursive-least-squares-filter","display_name":"Recursive least squares filter","score":0.44369715452194214},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4407294690608978},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35538986325263977},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17773041129112244},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.1657538115978241}],"concepts":[{"id":"https://openalex.org/C2776096036","wikidata":"https://www.wikidata.org/wiki/Q1140483","display_name":"Narrowband","level":2,"score":0.6616532802581787},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.561224639415741},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5414995551109314},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4641605019569397},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45062923431396484},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4445461630821228},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4445452392101288},{"id":"https://openalex.org/C145249878","wikidata":"https://www.wikidata.org/wiki/Q2835868","display_name":"Recursive least squares filter","level":3,"score":0.44369715452194214},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4407294690608978},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35538986325263977},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17773041129112244},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.1657538115978241},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tim.2013.2272398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2013.2272398","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Transactions on Instrumentation and Measurement","raw_type":"journal-article"},{"id":"pmh:oai:hub.hku.hk:10722/202894","is_oa":false,"landing_page_url":"http://hdl.handle.net/10722/202894","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":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W178056938","https://openalex.org/W1578953027","https://openalex.org/W1586900266","https://openalex.org/W1597732836","https://openalex.org/W1650303818","https://openalex.org/W1654665403","https://openalex.org/W1978942780","https://openalex.org/W1986204049","https://openalex.org/W1994025416","https://openalex.org/W2007511358","https://openalex.org/W2011290496","https://openalex.org/W2019925151","https://openalex.org/W2034557419","https://openalex.org/W2044791639","https://openalex.org/W2059938353","https://openalex.org/W2060730008","https://openalex.org/W2074846294","https://openalex.org/W2080695875","https://openalex.org/W2082373836","https://openalex.org/W2086012212","https://openalex.org/W2096840408","https://openalex.org/W2102965848","https://openalex.org/W2105751676","https://openalex.org/W2107973822","https://openalex.org/W2107995734","https://openalex.org/W2115128368","https://openalex.org/W2117457712","https://openalex.org/W2124989052","https://openalex.org/W2129673037","https://openalex.org/W2138545005","https://openalex.org/W2148492654","https://openalex.org/W2149332199","https://openalex.org/W2149684112","https://openalex.org/W2149832465","https://openalex.org/W2150709895","https://openalex.org/W2158674205","https://openalex.org/W2160831743","https://openalex.org/W2167770537","https://openalex.org/W2495093419","https://openalex.org/W2792296590","https://openalex.org/W4255230573"],"related_works":["https://openalex.org/W2143089067","https://openalex.org/W2132687327","https://openalex.org/W1964845213","https://openalex.org/W2806213293","https://openalex.org/W2948555714","https://openalex.org/W4388305607","https://openalex.org/W2111059075","https://openalex.org/W45363573","https://openalex.org/W4288967629","https://openalex.org/W2108587724"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,41,60],"general":[4],"and":[5,15,28,100,105,128,154,169,192],"computationally":[6],"efficient":[7],"parametric":[8],"model-based":[9],"framework":[10],"for":[11,67],"recursive":[12,62,68,158],"frequency/spectrum":[13],"estimation":[14,32,69],"feature":[16],"detection":[17,191],"of":[18,26,33,70,93,140,178],"nonstationary":[19,98],"signals,":[20],"which":[21],"may":[22],"contain":[23],"different":[24,138],"extents":[25,139],"nonstationarities":[27],"impulsive":[29,76,130,174],"components.":[30,175],"The":[31,120],"time-varying":[34,42,72,165],"frequency":[35,167],"or":[36],"spectrum":[37],"is":[38,51,124,134,151],"formulated":[39],"as":[40],"linear":[43],"model":[44,55,73],"identification":[45],"problem,":[46],"where":[47],"the":[48,54,71,90,94,110,116,147,179],"spectral":[49,141,171],"information":[50],"estimated":[52],"from":[53],"coefficients.":[56],"We":[57],"then":[58],"employ":[59],"QR-decomposition-based":[61],"least":[63,159],"M-estimate":[64],"(QRRLM)":[65],"algorithm":[66,123,150],"coefficients":[74],"in":[75,97,162,185],"environment":[77,99],"using":[78],"M-estimation.":[79],"New":[80],"variable":[81],"forgetting":[82],"factor":[83],"(VFF)":[84],"schemes":[85,113],"are":[86],"developed":[87],"to":[88,107,126,136],"improve":[89],"tracking":[91],"performance":[92],"QRRLM":[95],"method":[96,181],"we":[101],"use":[102],"theoretical":[103],"derivation":[104],"simulations":[106],"prove":[108],"that":[109,146],"proposed":[111,148,180],"VFF":[112,118],"can":[114,182],"approach":[115],"optimal":[117],"selection.":[119],"resultant":[121],"VFF-QRRLM":[122,149],"able":[125,135],"restrain":[127],"isolate":[129],"components":[131,168,172],"whereas":[132],"it":[133],"handle":[137],"variations.":[142],"Simulation":[143],"results":[144],"show":[145],"more":[152],"robust":[153],"accurate":[155],"than":[156],"conventional":[157],"squares-based":[160],"methods":[161],"estimating":[163],"both":[164],"narrowband":[166],"broadband":[170],"with":[173],"Potential":[176],"applications":[177],"be":[183],"found":[184],"power":[186],"quality":[187],"monitoring,":[188],"online":[189],"fault":[190],"speech":[193],"analysis.":[194]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}