{"id":"https://openalex.org/W2736259647","doi":"https://doi.org/10.1109/i2mtc.2017.7969825","title":"Measuring the best linear approximation of Wiener systems using multilevel sequences","display_name":"Measuring the best linear approximation of Wiener systems using multilevel sequences","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2736259647","doi":"https://doi.org/10.1109/i2mtc.2017.7969825","mag":"2736259647"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc.2017.7969825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2017.7969825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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/A5083411180","display_name":"Alessio De Angelis","orcid":"https://orcid.org/0000-0001-7953-4272"},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"A. De Angelis","raw_affiliation_strings":["Engineering Department, University of Perugia, Perugia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Department, University of Perugia, Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076996530","display_name":"J. Schoukens","orcid":"https://orcid.org/0000-0003-0492-6137"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"J. Schoukens","raw_affiliation_strings":["Department ELEC, Vrije Universiteit Brussel, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department ELEC, Vrije Universiteit Brussel, Belgium","institution_ids":["https://openalex.org/I13469542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102830303","display_name":"K.R. Godfrey","orcid":"https://orcid.org/0000-0003-3025-5269"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"K. R. Godfrey","raw_affiliation_strings":["University of Warwick, School of Engineering, Coventry, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Warwick, School of Engineering, Coventry, United Kingdom","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090244413","display_name":"Paolo Carbone","orcid":"https://orcid.org/0000-0003-0540-1287"},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"P. Carbone","raw_affiliation_strings":["Engineering Department, University of Perugia, Perugia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Department, University of Perugia, Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3244,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75053965,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"42","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9998000264167786,"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/T11236","display_name":"Control Systems and Identification","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9970999956130981,"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.6415366530418396},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6381995677947998},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.628732442855835},{"id":"https://openalex.org/keywords/linear-system","display_name":"Linear system","score":0.5400465726852417},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.529961884021759},{"id":"https://openalex.org/keywords/linear-approximation","display_name":"Linear approximation","score":0.5049012303352356},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49575743079185486},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4864042103290558},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4429395794868469},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.429363489151001},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42825931310653687},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4110003113746643},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3617473840713501},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.20563390851020813},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14126861095428467},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13614290952682495},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13530036807060242},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12963274121284485},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.08481153845787048}],"concepts":[{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.6415366530418396},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6381995677947998},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.628732442855835},{"id":"https://openalex.org/C6802819","wikidata":"https://www.wikidata.org/wiki/Q1072174","display_name":"Linear system","level":2,"score":0.5400465726852417},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.529961884021759},{"id":"https://openalex.org/C160824197","wikidata":"https://www.wikidata.org/wiki/Q2071054","display_name":"Linear approximation","level":3,"score":0.5049012303352356},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49575743079185486},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4864042103290558},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4429395794868469},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.429363489151001},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42825931310653687},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4110003113746643},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3617473840713501},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.20563390851020813},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14126861095428467},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13614290952682495},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13530036807060242},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12963274121284485},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.08481153845787048},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc.2017.7969825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2017.7969825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1995569434","https://openalex.org/W2023109623","https://openalex.org/W2041030128","https://openalex.org/W2053919921","https://openalex.org/W2083766201","https://openalex.org/W2086248552","https://openalex.org/W2106644107","https://openalex.org/W2153604954","https://openalex.org/W2168884607","https://openalex.org/W2334309179","https://openalex.org/W2407429584","https://openalex.org/W2496504839","https://openalex.org/W2553507778","https://openalex.org/W2986341294","https://openalex.org/W3104068579","https://openalex.org/W4252099851"],"related_works":["https://openalex.org/W1974392290","https://openalex.org/W1911817635","https://openalex.org/W2074565401","https://openalex.org/W2810224748","https://openalex.org/W2353656796","https://openalex.org/W2011915004","https://openalex.org/W2130974430","https://openalex.org/W3103566292","https://openalex.org/W1607924090","https://openalex.org/W1967187784"],"abstract_inverted_index":{"The":[0,39],"problem":[1],"of":[2,8,14,25,31,41,86],"measuring":[3],"the":[4,29,42,59,83,87],"best":[5],"linear":[6,89],"approximation":[7],"a":[9,47,68,79],"nonlinear":[10],"system":[11],"by":[12,36],"means":[13],"multilevel":[15],"excitation":[16],"sequences":[17,26,43,66],"is":[18,34,44,56],"analyzed.":[19],"A":[20],"comparison":[21],"between":[22],"different":[23],"types":[24],"applied":[27],"at":[28],"input":[30],"Wiener":[32],"systems":[33],"provided":[35],"numerical":[37],"simulations.":[38],"performance":[40],"compared":[45],"with":[46],"white":[48],"Gaussian":[49],"noise":[50],"signal":[51],"for":[52,63],"reference":[53],"purposes.":[54],"It":[55],"shown":[57],"that":[58],"randomized":[60],"constrained":[61],"approach":[62],"designing":[64],"ternary":[65],"has":[67],"low":[69],"sensitivity":[70],"to":[71,82],"even":[72],"and":[73],"odd":[74],"order":[75],"nonlinearity,":[76],"resulting":[77],"in":[78],"response":[80,85],"close":[81],"actual":[84],"underlying":[88],"system.":[90]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
