{"id":"https://openalex.org/W4385578180","doi":"https://doi.org/10.3390/a16080374","title":"A Greedy Pursuit Hierarchical Iteration Algorithm for Multi-Input Systems with Colored Noise and Unknown Time-Delays","display_name":"A Greedy Pursuit Hierarchical Iteration Algorithm for Multi-Input Systems with Colored Noise and Unknown Time-Delays","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385578180","doi":"https://doi.org/10.3390/a16080374"},"language":"en","primary_location":{"id":"doi:10.3390/a16080374","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16080374","pdf_url":"https://www.mdpi.com/1999-4893/16/8/374/pdf?version=1691115004","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/16/8/374/pdf?version=1691115004","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110970411","display_name":"Ruijuan Du","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115515","display_name":"Nanyang Institute of Technology","ror":"https://ror.org/0203c2755","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210115515"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruijuan Du","raw_affiliation_strings":["School of Intelligent Manufacturing, Nanyang Institute of Technology, Nanyang 473004, China"],"affiliations":[{"raw_affiliation_string":"School of Intelligent Manufacturing, Nanyang Institute of Technology, Nanyang 473004, China","institution_ids":["https://openalex.org/I4210115515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100804557","display_name":"Taiyang Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115515","display_name":"Nanyang Institute of Technology","ror":"https://ror.org/0203c2755","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210115515"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Taiyang Tao","raw_affiliation_strings":["School of Intelligent Manufacturing, Nanyang Institute of Technology, Nanyang 473004, China"],"affiliations":[{"raw_affiliation_string":"School of Intelligent Manufacturing, Nanyang Institute of Technology, Nanyang 473004, China","institution_ids":["https://openalex.org/I4210115515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100804557"],"corresponding_institution_ids":["https://openalex.org/I4210115515"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.2163,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45977477,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"16","issue":"8","first_page":"374","last_page":"374"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9988999962806702,"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":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7148349285125732},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.6572450399398804},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.6552248597145081},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6521771550178528},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6025104522705078},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5773075819015503},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.48167383670806885},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.47747015953063965},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4596507251262665},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.42798566818237305},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4123159348964691},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23210713267326355},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22965127229690552},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14776992797851562}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7148349285125732},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.6572450399398804},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.6552248597145081},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6521771550178528},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6025104522705078},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5773075819015503},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.48167383670806885},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.47747015953063965},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4596507251262665},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.42798566818237305},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4123159348964691},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23210713267326355},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22965127229690552},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14776992797851562},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/a16080374","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16080374","pdf_url":"https://www.mdpi.com/1999-4893/16/8/374/pdf?version=1691115004","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8356786c3f4343eb89a1757af81d39b3","is_oa":true,"landing_page_url":"https://doaj.org/article/8356786c3f4343eb89a1757af81d39b3","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 16, Iss 8, p 374 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1999-4893/16/8/374/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/a16080374","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms; Volume 16; Issue 8; Pages: 374","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/a16080374","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16080374","pdf_url":"https://www.mdpi.com/1999-4893/16/8/374/pdf?version=1691115004","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385578180.pdf"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W2116148865","https://openalex.org/W2119667497","https://openalex.org/W2147656689","https://openalex.org/W2161083632","https://openalex.org/W2287910890","https://openalex.org/W2551613294","https://openalex.org/W2560332100","https://openalex.org/W2761183543","https://openalex.org/W2899717173","https://openalex.org/W2903250535","https://openalex.org/W2945724308","https://openalex.org/W2982824732","https://openalex.org/W2996286798","https://openalex.org/W3009646623","https://openalex.org/W3024560045","https://openalex.org/W3088647574","https://openalex.org/W3114791231","https://openalex.org/W3139911515","https://openalex.org/W3153972080","https://openalex.org/W3159630100","https://openalex.org/W3161970973","https://openalex.org/W4250955649","https://openalex.org/W6787428813","https://openalex.org/W6795768249"],"related_works":["https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2778153218","https://openalex.org/W1531601525","https://openalex.org/W2379256376","https://openalex.org/W2107703637","https://openalex.org/W2567231135","https://openalex.org/W2381127329","https://openalex.org/W3015194228"],"abstract_inverted_index":{"This":[0],"paper":[1],"focuses":[2],"on":[3,85],"the":[4,34,54,63,70,105,108,113,117,128,152,155],"joint":[5],"estimation":[6,35,77],"of":[7,49,56,59,107,134,154],"parameters":[8,93,118,136],"and":[9,20,79,111,119,131],"time":[10,60,120],"delays":[11,19,121],"for":[12],"multi-input":[13,50],"systems":[14,51],"that":[15],"contain":[16],"unknown":[17,71],"input":[18],"colored":[21],"noise.":[22],"A":[23],"greedy":[24,81,99],"pursuit":[25,82,100],"hierarchical":[26,64],"iteration":[27],"algorithm":[28,157],"is":[29,41,66,88],"proposed,":[30],"which":[31],"can":[32,102,122],"reduce":[33,104],"cost.":[36],"Firstly,":[37],"an":[38],"over-parameterized":[39],"approach":[40],"employed":[42,89],"to":[43,68,90,150],"construct":[44],"a":[45,80],"sparse":[46],"system":[47,109],"model":[48,110],"even":[52],"in":[53,158],"absence":[55],"prior":[57],"knowledge":[58],"delays.":[61],"Secondly,":[62],"principle":[65],"applied":[67],"replace":[69],"true":[72],"noise":[73],"items":[74],"with":[75,141],"their":[76],"values,":[78],"search":[83,101],"based":[84],"compressed":[86],"sensing":[87],"find":[91],"key":[92,135],"using":[94],"limited":[95,142],"sampled":[96,143],"data.":[97,144],"The":[98],"effectively":[103],"scale":[106],"improve":[112],"identification":[114],"efficiency.":[115],"Then,":[116],"be":[123],"estimated":[124],"simultaneously":[125],"while":[126],"considering":[127],"known":[129],"orders":[130],"found":[132],"locations":[133],"by":[137],"utilizing":[138],"iterative":[139],"methods":[140],"Finally,":[145],"some":[146],"simulations":[147],"are":[148],"provided":[149],"illustrate":[151],"effectiveness":[153],"presented":[156],"this":[159],"paper.":[160]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-01-20T23:28:44.954186","created_date":"2025-10-10T00:00:00"}
