FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2742576937> ?p ?o ?g. }

• W2742576937 abstract "The sensor selection problem arises in many applications ranging from sensor networks for event detection to determining concentrations of bio-markers for disease detection. In this paper, we assume that in addition to noise, there exist interference signals (which can be correlated with the desired signals) corrupting the measurements. We consider two different criteria to measure the performance of the selected sensors; average error and minimax analysis. For each case, the cost function is defined over the reconstruction algorithm (or matrix in the linear case), which in turn, explicitly determines the selected sensors. Therefore, minimizing the cost function with some sparsity constraints on the reconstruction algorithm results in the best subset of sensors and as to how we recover the desired signals from the selected measurements. In this paper, we consider the problem for the linear measurement system in various settings and derive the optimization problems. Finally, we propose various methods to solve these problems, and show the effectiveness of the proposed algorithms through simulations." @default.
• W2742576937 created "2017-08-17" @default.
• W2742576937 creator A5005771765 @default.
• W2742576937 creator A5083854532 @default.
• W2742576937 date "2017-06-01" @default.
• W2742576937 modified "2023-09-23" @default.
• W2742576937 title "Optimal sensor selection in the presence of noise and interference" @default.
• W2742576937 cites W1517928915 @default.
• W2742576937 cites W1680189815 @default.
• W2742576937 cites W1974774078 @default.
• W2742576937 cites W1987484735 @default.
• W2742576937 cites W2000743476 @default.
• W2742576937 cites W2033130658 @default.
• W2742576937 cites W2045148236 @default.
• W2742576937 cites W2074054045 @default.
• W2742576937 cites W2100729440 @default.
• W2742576937 cites W2116148865 @default.
• W2742576937 cites W2139105070 @default.
• W2742576937 cites W2146851754 @default.
• W2742576937 cites W2153609494 @default.
• W2742576937 cites W2159416808 @default.
• W2742576937 cites W2169207653 @default.
• W2742576937 cites W2291133542 @default.
• W2742576937 cites W2963005128 @default.
• W2742576937 doi "https://doi.org/10.1109/isit.2017.8006955" @default.
• W2742576937 hasPublicationYear "2017" @default.
• W2742576937 type Work @default.
• W2742576937 sameAs 2742576937 @default.
• W2742576937 citedByCount "3" @default.
• W2742576937 countsByYear W27425769372017 @default.
• W2742576937 countsByYear W27425769372019 @default.
• W2742576937 countsByYear W27425769372021 @default.
• W2742576937 crossrefType "proceedings-article" @default.
• W2742576937 hasAuthorship W2742576937A5005771765 @default.
• W2742576937 hasAuthorship W2742576937A5083854532 @default.
• W2742576937 hasConcept C11413529 @default.
• W2742576937 hasConcept C115961682 @default.
• W2742576937 hasConcept C124101348 @default.
• W2742576937 hasConcept C126255220 @default.
• W2742576937 hasConcept C127162648 @default.
• W2742576937 hasConcept C137836250 @default.
• W2742576937 hasConcept C14036430 @default.
• W2742576937 hasConcept C149728462 @default.
• W2742576937 hasConcept C154945302 @default.
• W2742576937 hasConcept C163294075 @default.
• W2742576937 hasConcept C24590314 @default.
• W2742576937 hasConcept C2780009758 @default.
• W2742576937 hasConcept C29265498 @default.
• W2742576937 hasConcept C31258907 @default.
• W2742576937 hasConcept C32022120 @default.
• W2742576937 hasConcept C33923547 @default.
• W2742576937 hasConcept C41008148 @default.
• W2742576937 hasConcept C76155785 @default.
• W2742576937 hasConcept C78458016 @default.
• W2742576937 hasConcept C81917197 @default.
• W2742576937 hasConcept C86803240 @default.
• W2742576937 hasConcept C99498987 @default.
• W2742576937 hasConceptScore W2742576937C11413529 @default.
• W2742576937 hasConceptScore W2742576937C115961682 @default.
• W2742576937 hasConceptScore W2742576937C124101348 @default.
• W2742576937 hasConceptScore W2742576937C126255220 @default.
• W2742576937 hasConceptScore W2742576937C127162648 @default.
• W2742576937 hasConceptScore W2742576937C137836250 @default.
• W2742576937 hasConceptScore W2742576937C14036430 @default.
• W2742576937 hasConceptScore W2742576937C149728462 @default.
• W2742576937 hasConceptScore W2742576937C154945302 @default.
• W2742576937 hasConceptScore W2742576937C163294075 @default.
• W2742576937 hasConceptScore W2742576937C24590314 @default.
• W2742576937 hasConceptScore W2742576937C2780009758 @default.
• W2742576937 hasConceptScore W2742576937C29265498 @default.
• W2742576937 hasConceptScore W2742576937C31258907 @default.
• W2742576937 hasConceptScore W2742576937C32022120 @default.
• W2742576937 hasConceptScore W2742576937C33923547 @default.
• W2742576937 hasConceptScore W2742576937C41008148 @default.
• W2742576937 hasConceptScore W2742576937C76155785 @default.
• W2742576937 hasConceptScore W2742576937C78458016 @default.
• W2742576937 hasConceptScore W2742576937C81917197 @default.
• W2742576937 hasConceptScore W2742576937C86803240 @default.
• W2742576937 hasConceptScore W2742576937C99498987 @default.
• W2742576937 hasLocation W27425769371 @default.
• W2742576937 hasOpenAccess W2742576937 @default.
• W2742576937 hasPrimaryLocation W27425769371 @default.
• W2742576937 hasRelatedWork W123401940 @default.
• W2742576937 hasRelatedWork W1994759745 @default.
• W2742576937 hasRelatedWork W2010115146 @default.
• W2742576937 hasRelatedWork W2021455238 @default.
• W2742576937 hasRelatedWork W2076771903 @default.
• W2742576937 hasRelatedWork W2091794441 @default.
• W2742576937 hasRelatedWork W2129772349 @default.
• W2742576937 hasRelatedWork W2148951351 @default.
• W2742576937 hasRelatedWork W2526661336 @default.
• W2742576937 hasRelatedWork W2769728167 @default.
• W2742576937 hasRelatedWork W2886471241 @default.
• W2742576937 hasRelatedWork W2912015020 @default.
• W2742576937 hasRelatedWork W2920187195 @default.
• W2742576937 hasRelatedWork W2969132261 @default.
• W2742576937 hasRelatedWork W2995954612 @default.
• W2742576937 hasRelatedWork W3006340941 @default.
• W2742576937 hasRelatedWork W3049509763 @default.
• W2742576937 hasRelatedWork W3100368588 @default.

• next