{"id":"https://openalex.org/W4410152927","doi":"https://doi.org/10.1109/lsp.2025.3567804","title":"A Novel Three-Stage Filtering Identification Algorithm for the Exponential Autoregressive Time-Series Model","display_name":"A Novel Three-Stage Filtering Identification Algorithm for the Exponential Autoregressive Time-Series Model","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410152927","doi":"https://doi.org/10.1109/lsp.2025.3567804"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2025.3567804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3567804","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/A5100956566","display_name":"Huan Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153482","display_name":"Changzhou University","ror":"https://ror.org/04ymgwq66","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153482"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huan Xu","raw_affiliation_strings":["School of Microelectronics and Control Engineering, Changzhou University, Changzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics and Control Engineering, Changzhou University, Changzhou, China","institution_ids":["https://openalex.org/I4210153482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101486379","display_name":"Ling Xu","orcid":"https://orcid.org/0009-0007-4129-2520"},"institutions":[{"id":"https://openalex.org/I4210153482","display_name":"Changzhou University","ror":"https://ror.org/04ymgwq66","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153482"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Xu","raw_affiliation_strings":["School of Microelectronics and Control Engineering, Changzhou University, Changzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics and Control Engineering, Changzhou University, Changzhou, China","institution_ids":["https://openalex.org/I4210153482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020586879","display_name":"Bingbing Shen","orcid":"https://orcid.org/0000-0002-8832-9147"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingbing Shen","raw_affiliation_strings":["School of Mathematics, Hangzhou Normal University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100956566"],"corresponding_institution_ids":["https://openalex.org/I4210153482"],"apc_list":null,"apc_paid":null,"fwci":21.7184,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.99558128,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"32","issue":null,"first_page":"2089","last_page":"2093"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9199000000953674,"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"}},"topics":[{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9199000000953674,"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":0.737812876701355},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6800583004951477},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5794101357460022},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5587159395217896},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5292011499404907},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.5215377807617188},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5025622844696045},{"id":"https://openalex.org/keywords/star-model","display_name":"STAR model","score":0.49891114234924316},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.4755125641822815},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34878140687942505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33941909670829773},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32910317182540894},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.26886099576950073},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23036250472068787},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18004414439201355}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.737812876701355},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6800583004951477},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5794101357460022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5587159395217896},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5292011499404907},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.5215377807617188},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5025622844696045},{"id":"https://openalex.org/C194657046","wikidata":"https://www.wikidata.org/wiki/Q7394685","display_name":"STAR model","level":4,"score":0.49891114234924316},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.4755125641822815},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34878140687942505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33941909670829773},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32910317182540894},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.26886099576950073},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23036250472068787},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18004414439201355},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2025.3567804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3567804","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":[{"id":"https://metadata.un.org/sdg/10","score":0.550000011920929,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G5232071087","display_name":null,"funder_award_id":"LQ23F030004","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G6338495618","display_name":null,"funder_award_id":"61873111","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6895524612","display_name":null,"funder_award_id":"62303146","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"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2039569176","https://openalex.org/W2167256449","https://openalex.org/W2417406719","https://openalex.org/W2727620307","https://openalex.org/W2767313759","https://openalex.org/W2792800544","https://openalex.org/W3049391031","https://openalex.org/W4213363428","https://openalex.org/W4251846825","https://openalex.org/W4293722677","https://openalex.org/W4295934568","https://openalex.org/W4312294390","https://openalex.org/W4360930444","https://openalex.org/W4362480373","https://openalex.org/W4381429091","https://openalex.org/W4381801778","https://openalex.org/W4384284161","https://openalex.org/W4385627436","https://openalex.org/W4385754799","https://openalex.org/W4393183524","https://openalex.org/W4393390262","https://openalex.org/W4398187782","https://openalex.org/W4400428277","https://openalex.org/W4402430640","https://openalex.org/W4405518128"],"related_works":["https://openalex.org/W2439807930","https://openalex.org/W2009692134","https://openalex.org/W1972271943","https://openalex.org/W2019155478","https://openalex.org/W2024529895","https://openalex.org/W2168175994","https://openalex.org/W1902630399","https://openalex.org/W2120434453","https://openalex.org/W3120578569","https://openalex.org/W2349019353"],"abstract_inverted_index":{"This":[0],"letter":[1],"studies":[2],"the":[3,12,25,30,32,43,50,55,68,71,86,96,105],"identification":[4,26,33,62,80],"of":[5,49,70,104],"a":[6,58,78,111],"typical":[7],"nonlinear":[8],"time-series":[9],"model,":[10],"i.e.,":[11],"exponential":[13],"autoregressive":[14],"model":[15,34,98],"with":[16,24],"unknown":[17,97],"time-delay":[18],"and":[19,54,74,89,92,100],"colored":[20,72],"noise.":[21],"To":[22],"deal":[23],"difficulties":[27],"caused":[28],"by":[29,47,110],"time-delay,":[31],"is":[35,64,82,108],"transformed":[36],"into":[37],"an":[38],"augmented":[39],"one":[40],"according":[41],"to":[42,66,84,93],"redundant":[44],"rule.":[45],"Then,":[46],"means":[48],"data":[51,87],"filtering":[52,61],"technique":[53],"hierarchical":[56],"principle,":[57],"novel":[59],"three-stage":[60],"frame":[63],"presented":[65],"decrease":[67],"effect":[69],"noise":[73],"complex":[75],"nonlinearity.":[76],"Moreover,":[77],"multi-innovation":[79],"algorithm":[81,107],"proposed":[83,106],"improve":[85],"utilization":[88],"estimation":[90],"accuracy,":[91],"jointly":[94],"estimate":[95],"parameters":[99],"time-delay.":[101],"The":[102],"effectiveness":[103],"evaluated":[109],"numerical":[112],"example.":[113]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":7}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
