Matches in SemOpenAlex for { <https://semopenalex.org/work/W2889094440> ?p ?o ?g. }
Showing items 1 to 95 of
95
with 100 items per page.
- W2889094440 abstract "This paper addresses the issue of hierarchical approximation and decomposition of long time series emerging from the observation of physical systems. The first level of the decomposition uses spatial weighted polynomial approximation to obtain local estimates for the state vectors of a system, i.e., values and derivatives. Covariance weighted Hermite approximation is used to approximate the next hierarchy of state vectors by using value and derivative information from the previous hierarchy to improve the approximation. This is repeated until a certain rate of compression and/or smoothing is reached. For further usage, methods for interpolation between the state vectors are presented to reconstruct the signal at arbitrary points. All derivations needed for the presented approach are provided in this paper along with derivations needed for covariance propagation. Additionally, numerical tests reveal the benefits of the single steps. The proposed hierarchical method is successfully tested on synthetic data, proving the validity of the concept." @default.
- W2889094440 created "2018-09-07" @default.
- W2889094440 creator A5017549253 @default.
- W2889094440 creator A5032694224 @default.
- W2889094440 creator A5070516544 @default.
- W2889094440 creator A5075509700 @default.
- W2889094440 creator A5090065924 @default.
- W2889094440 date "2018-08-29" @default.
- W2889094440 modified "2023-10-16" @default.
- W2889094440 title "Hierarchical Decomposition and Approximation of Sensor Data" @default.
- W2889094440 cites W1760434817 @default.
- W2889094440 cites W1967542684 @default.
- W2889094440 cites W1968697624 @default.
- W2889094440 cites W1970780859 @default.
- W2889094440 cites W1975903129 @default.
- W2889094440 cites W1998560353 @default.
- W2889094440 cites W2008178166 @default.
- W2889094440 cites W2063678701 @default.
- W2889094440 cites W2072420399 @default.
- W2889094440 cites W2075696842 @default.
- W2889094440 cites W2107967023 @default.
- W2889094440 cites W2134218819 @default.
- W2889094440 cites W2158312225 @default.
- W2889094440 cites W2229979452 @default.
- W2889094440 cites W2485959710 @default.
- W2889094440 cites W4212977306 @default.
- W2889094440 cites W4253016408 @default.
- W2889094440 cites W655548073 @default.
- W2889094440 doi "https://doi.org/10.1007/978-981-13-2273-0_27" @default.
- W2889094440 hasPublicationYear "2018" @default.
- W2889094440 type Work @default.
- W2889094440 sameAs 2889094440 @default.
- W2889094440 citedByCount "2" @default.
- W2889094440 countsByYear W28890944402019 @default.
- W2889094440 crossrefType "book-chapter" @default.
- W2889094440 hasAuthorship W2889094440A5017549253 @default.
- W2889094440 hasAuthorship W2889094440A5032694224 @default.
- W2889094440 hasAuthorship W2889094440A5070516544 @default.
- W2889094440 hasAuthorship W2889094440A5075509700 @default.
- W2889094440 hasAuthorship W2889094440A5090065924 @default.
- W2889094440 hasConcept C104114177 @default.
- W2889094440 hasConcept C105795698 @default.
- W2889094440 hasConcept C11413529 @default.
- W2889094440 hasConcept C117251300 @default.
- W2889094440 hasConcept C124681953 @default.
- W2889094440 hasConcept C126255220 @default.
- W2889094440 hasConcept C137250428 @default.
- W2889094440 hasConcept C137800194 @default.
- W2889094440 hasConcept C154945302 @default.
- W2889094440 hasConcept C162324750 @default.
- W2889094440 hasConcept C178650346 @default.
- W2889094440 hasConcept C18903297 @default.
- W2889094440 hasConcept C28826006 @default.
- W2889094440 hasConcept C31170391 @default.
- W2889094440 hasConcept C33923547 @default.
- W2889094440 hasConcept C34447519 @default.
- W2889094440 hasConcept C3770464 @default.
- W2889094440 hasConcept C41008148 @default.
- W2889094440 hasConcept C86803240 @default.
- W2889094440 hasConceptScore W2889094440C104114177 @default.
- W2889094440 hasConceptScore W2889094440C105795698 @default.
- W2889094440 hasConceptScore W2889094440C11413529 @default.
- W2889094440 hasConceptScore W2889094440C117251300 @default.
- W2889094440 hasConceptScore W2889094440C124681953 @default.
- W2889094440 hasConceptScore W2889094440C126255220 @default.
- W2889094440 hasConceptScore W2889094440C137250428 @default.
- W2889094440 hasConceptScore W2889094440C137800194 @default.
- W2889094440 hasConceptScore W2889094440C154945302 @default.
- W2889094440 hasConceptScore W2889094440C162324750 @default.
- W2889094440 hasConceptScore W2889094440C178650346 @default.
- W2889094440 hasConceptScore W2889094440C18903297 @default.
- W2889094440 hasConceptScore W2889094440C28826006 @default.
- W2889094440 hasConceptScore W2889094440C31170391 @default.
- W2889094440 hasConceptScore W2889094440C33923547 @default.
- W2889094440 hasConceptScore W2889094440C34447519 @default.
- W2889094440 hasConceptScore W2889094440C3770464 @default.
- W2889094440 hasConceptScore W2889094440C41008148 @default.
- W2889094440 hasConceptScore W2889094440C86803240 @default.
- W2889094440 hasLocation W28890944401 @default.
- W2889094440 hasOpenAccess W2889094440 @default.
- W2889094440 hasPrimaryLocation W28890944401 @default.
- W2889094440 hasRelatedWork W185763440 @default.
- W2889094440 hasRelatedWork W2046568104 @default.
- W2889094440 hasRelatedWork W2050665540 @default.
- W2889094440 hasRelatedWork W2071135635 @default.
- W2889094440 hasRelatedWork W2085033834 @default.
- W2889094440 hasRelatedWork W2129173607 @default.
- W2889094440 hasRelatedWork W2240620229 @default.
- W2889094440 hasRelatedWork W2300137475 @default.
- W2889094440 hasRelatedWork W2766586113 @default.
- W2889094440 hasRelatedWork W2889094440 @default.
- W2889094440 isParatext "false" @default.
- W2889094440 isRetracted "false" @default.
- W2889094440 magId "2889094440" @default.
- W2889094440 workType "book-chapter" @default.