{"id":"https://openalex.org/W4210322694","doi":"https://doi.org/10.1109/cdc45484.2021.9683633","title":"Online Algorithms for Polynomial Regression on Physical Reservoir Computers with Noisy Measurements","display_name":"Online Algorithms for Polynomial Regression on Physical Reservoir Computers with Noisy Measurements","publication_year":2021,"publication_date":"2021-12-14","ids":{"openalex":"https://openalex.org/W4210322694","doi":"https://doi.org/10.1109/cdc45484.2021.9683633"},"language":"en","primary_location":{"id":"doi:10.1109/cdc45484.2021.9683633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc45484.2021.9683633","pdf_url":null,"source":{"id":"https://openalex.org/S4363607724","display_name":"2021 60th IEEE Conference on Decision and Control (CDC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 60th IEEE Conference on Decision and Control (CDC)","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/A5101464065","display_name":"Jiayin Chen","orcid":"https://orcid.org/0000-0003-0452-2618"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jiayin Chen","raw_affiliation_strings":["School of Electrical Engineering and Telecommunications, UNSW Australia, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Telecommunications, UNSW Australia, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064534342","display_name":"Hendra I. Nurdin","orcid":"https://orcid.org/0000-0002-5588-4259"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hendra I. Nurdin","raw_affiliation_strings":["School of Electrical Engineering and Telecommunications, UNSW Australia, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Telecommunications, UNSW Australia, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"45","issue":null,"first_page":"1502","last_page":"1508"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9898999929428101,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.972100019454956,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/reservoir-computing","display_name":"Reservoir computing","score":0.8117921948432922},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6868186593055725},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5909359455108643},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5888096690177917},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5871883034706116},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.5850078463554382},{"id":"https://openalex.org/keywords/recursive-least-squares-filter","display_name":"Recursive least squares filter","score":0.5631586313247681},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.5239500999450684},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.5153055191040039},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.48441627621650696},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.4376230537891388},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.43360552191734314},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.40396541357040405},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.3664478063583374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28903019428253174},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2195703089237213},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16184812784194946},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.1353771984577179}],"concepts":[{"id":"https://openalex.org/C135796866","wikidata":"https://www.wikidata.org/wiki/Q7315328","display_name":"Reservoir computing","level":4,"score":0.8117921948432922},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6868186593055725},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5909359455108643},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5888096690177917},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5871883034706116},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.5850078463554382},{"id":"https://openalex.org/C145249878","wikidata":"https://www.wikidata.org/wiki/Q2835868","display_name":"Recursive least squares filter","level":3,"score":0.5631586313247681},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.5239500999450684},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.5153055191040039},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.48441627621650696},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.4376230537891388},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.43360552191734314},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.40396541357040405},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.3664478063583374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28903019428253174},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2195703089237213},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16184812784194946},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.1353771984577179},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc45484.2021.9683633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc45484.2021.9683633","pdf_url":null,"source":{"id":"https://openalex.org/S4363607724","display_name":"2021 60th IEEE Conference on Decision and Control (CDC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 60th IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1989312953","https://openalex.org/W1999542175","https://openalex.org/W2051737542","https://openalex.org/W2070741335","https://openalex.org/W2083394445","https://openalex.org/W2117930381","https://openalex.org/W2127781924","https://openalex.org/W2129958507","https://openalex.org/W2132384444","https://openalex.org/W2140838032","https://openalex.org/W2160068178","https://openalex.org/W2501473864","https://openalex.org/W2509987864","https://openalex.org/W2887258823","https://openalex.org/W2963785007","https://openalex.org/W4285523579","https://openalex.org/W6734797129"],"related_works":["https://openalex.org/W4311297078","https://openalex.org/W2969267557","https://openalex.org/W4288255232","https://openalex.org/W2126679727","https://openalex.org/W4296467202","https://openalex.org/W3004665557","https://openalex.org/W2081837274","https://openalex.org/W2164852895","https://openalex.org/W2027630946","https://openalex.org/W3119704784"],"abstract_inverted_index":{"Reservoir":[0],"computing":[1,5],"is":[2],"a":[3,51,56],"neuromorphic":[4],"paradigm":[6],"that":[7],"employs":[8],"nonlinear":[9],"dynamical":[10],"systems":[11],"for":[12,27,63],"signal":[13],"processing.":[14,33],"Hardware":[15],"realization":[16],"of":[17],"reservoir":[18],"computers":[19],"(RCs),":[20],"physical":[21,35],"RCs,":[22],"has":[23],"demonstrated":[24],"promising":[25],"ability":[26],"applications":[28],"such":[29],"as":[30],"high-speed":[31],"speech":[32],"However,":[34],"RCs":[36,67],"may":[37],"be":[38],"impacted":[39],"by":[40],"intrinsic":[41],"noise":[42],"in":[43],"the":[44],"hardware.":[45],"In":[46],"this":[47],"work,":[48],"we":[49],"propose":[50],"modified":[52,57],"least-mean":[53],"squares":[54,60],"and":[55,76],"recursive":[58],"least":[59],"adaptive":[61],"algorithms":[62],"online":[64],"estimation":[65],"using":[66],"with":[68],"noisy":[69],"state":[70],"measurements.":[71],"We":[72],"establish":[73],"their":[74,78],"convergence":[75],"demonstrate":[77],"efficacy":[79],"on":[80],"numerical":[81],"examples.":[82]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}