FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2073733671> ?p ?o ?g. }

• W2073733671 endingPage "504" @default.
• W2073733671 startingPage "491" @default.
• W2073733671 abstract "This paper studies the impact of nonlinear distortions on linear system identification. It collects a number of previously published methods in a fully integrated approach to measure and model these systems from experimental data. First a theoretical framework is proposed that extends the linear system description to include the impact of nonlinear distortions: the nonlinear system is replaced by a linear model plus a ‘nonlinear noise source’. The class of nonlinear systems covered by this approach is described and the properties of the extended linear representation are studied. These results are used to design the experiments; to detect the level of the nonlinear distortions; to measure efficiently the ‘best’ linear approximation; to reveal the even or odd nature of the nonlinearity; to identify a parametric linear model; and to improve the model selection procedures in the presence of nonlinear distortions." @default.
• W2073733671 created "2016-06-24" @default.
• W2073733671 creator A5007260413 @default.
• W2073733671 creator A5062148547 @default.
• W2073733671 creator A5067784521 @default.
• W2073733671 creator A5074429391 @default.
• W2073733671 date "2005-03-01" @default.
• W2073733671 modified "2023-09-25" @default.
• W2073733671 title "Identification of linear systems with nonlinear distortions" @default.
• W2073733671 cites W1973559250 @default.
• W2073733671 cites W1983569967 @default.
• W2073733671 cites W1996163111 @default.
• W2073733671 cites W2001908998 @default.
• W2073733671 cites W2020937147 @default.
• W2073733671 cites W2032972617 @default.
• W2073733671 cites W2054658115 @default.
• W2073733671 cites W2082739854 @default.
• W2073733671 cites W2099442365 @default.
• W2073733671 cites W2105564885 @default.
• W2073733671 cites W2108327764 @default.
• W2073733671 cites W2109117067 @default.
• W2073733671 cites W2115382461 @default.
• W2073733671 cites W2118948173 @default.
• W2073733671 cites W2125351848 @default.
• W2073733671 cites W2136069338 @default.
• W2073733671 cites W2140775419 @default.
• W2073733671 cites W2142635246 @default.
• W2073733671 cites W2151312972 @default.
• W2073733671 cites W2153604954 @default.
• W2073733671 cites W2155161367 @default.
• W2073733671 cites W2160068178 @default.
• W2073733671 cites W2162996172 @default.
• W2073733671 cites W2982837428 @default.
• W2073733671 doi "https://doi.org/10.1016/j.automatica.2004.10.004" @default.
• W2073733671 hasPublicationYear "2005" @default.
• W2073733671 type Work @default.
• W2073733671 sameAs 2073733671 @default.
• W2073733671 citedByCount "190" @default.
• W2073733671 countsByYear W20737336712012 @default.
• W2073733671 countsByYear W20737336712013 @default.
• W2073733671 countsByYear W20737336712014 @default.
• W2073733671 countsByYear W20737336712015 @default.
• W2073733671 countsByYear W20737336712016 @default.
• W2073733671 countsByYear W20737336712017 @default.
• W2073733671 countsByYear W20737336712018 @default.
• W2073733671 countsByYear W20737336712019 @default.
• W2073733671 countsByYear W20737336712020 @default.
• W2073733671 countsByYear W20737336712021 @default.
• W2073733671 countsByYear W20737336712022 @default.
• W2073733671 countsByYear W20737336712023 @default.
• W2073733671 crossrefType "journal-article" @default.
• W2073733671 hasAuthorship W2073733671A5007260413 @default.
• W2073733671 hasAuthorship W2073733671A5062148547 @default.
• W2073733671 hasAuthorship W2073733671A5067784521 @default.
• W2073733671 hasAuthorship W2073733671A5074429391 @default.
• W2073733671 hasConcept C105795698 @default.
• W2073733671 hasConcept C115961682 @default.
• W2073733671 hasConcept C116834253 @default.
• W2073733671 hasConcept C117251300 @default.
• W2073733671 hasConcept C119247159 @default.
• W2073733671 hasConcept C121332964 @default.
• W2073733671 hasConcept C124101348 @default.
• W2073733671 hasConcept C134306372 @default.
• W2073733671 hasConcept C154945302 @default.
• W2073733671 hasConcept C158622935 @default.
• W2073733671 hasConcept C163175372 @default.
• W2073733671 hasConcept C173413354 @default.
• W2073733671 hasConcept C17744445 @default.
• W2073733671 hasConcept C194257627 @default.
• W2073733671 hasConcept C199539241 @default.
• W2073733671 hasConcept C22157029 @default.
• W2073733671 hasConcept C2775924081 @default.
• W2073733671 hasConcept C2776257435 @default.
• W2073733671 hasConcept C2776359362 @default.
• W2073733671 hasConcept C2780009758 @default.
• W2073733671 hasConcept C28826006 @default.
• W2073733671 hasConcept C31258907 @default.
• W2073733671 hasConcept C33923547 @default.
• W2073733671 hasConcept C41008148 @default.
• W2073733671 hasConcept C47446073 @default.
• W2073733671 hasConcept C59822182 @default.
• W2073733671 hasConcept C62520636 @default.
• W2073733671 hasConcept C6802819 @default.
• W2073733671 hasConcept C86803240 @default.
• W2073733671 hasConcept C94625758 @default.
• W2073733671 hasConcept C99498987 @default.
• W2073733671 hasConceptScore W2073733671C105795698 @default.
• W2073733671 hasConceptScore W2073733671C115961682 @default.
• W2073733671 hasConceptScore W2073733671C116834253 @default.
• W2073733671 hasConceptScore W2073733671C117251300 @default.
• W2073733671 hasConceptScore W2073733671C119247159 @default.
• W2073733671 hasConceptScore W2073733671C121332964 @default.
• W2073733671 hasConceptScore W2073733671C124101348 @default.
• W2073733671 hasConceptScore W2073733671C134306372 @default.
• W2073733671 hasConceptScore W2073733671C154945302 @default.
• W2073733671 hasConceptScore W2073733671C158622935 @default.
• W2073733671 hasConceptScore W2073733671C163175372 @default.
• W2073733671 hasConceptScore W2073733671C173413354 @default.

• next