FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2603015963> ?p ?o ?g. }

• W2603015963 endingPage "6550" @default.
• W2603015963 startingPage "6536" @default.
• W2603015963 abstract "The rich information in the power spectral density (PSD) matrix of a received signal can be extracted in different ways for various purposes in signal processing. Care, however, must be taken when distances between PSD matrices are considered because these matrices form a Riemannian manifold in the signal space. In this paper, two Riemannian distances (RD) are introduced for the measurement of distances between PSD matrices on the manifold. The principle by which the geodesics on the manifold can be lifted to a Euclidean subspace isometric with the tangent space of the manifold is also explained and emphasized. This leads to the concept that any optimization involving the RD on the manifold can be equivalently performed in this Euclidean subspace. The application of this principle is illustrated by the development of iterative algorithms to find the Riemannian means and Riemannian medians according to the two RD. These distance measures are then applied to the detection of narrow-band sonar signals. Exploration of the translation of measure reference as well as the application of optimum weighting show substantial improvement in detection performance over classical detection method." @default.
• W2603015963 created "2017-04-07" @default.
• W2603015963 creator A5028029032 @default.
• W2603015963 creator A5040878293 @default.
• W2603015963 creator A5047640717 @default.
• W2603015963 creator A5067509102 @default.
• W2603015963 date "2017-12-15" @default.
• W2603015963 modified "2023-10-17" @default.
• W2603015963 title "Mean and Median of PSD Matrices on a Riemannian Manifold: Application to Detection of Narrow-Band Sonar Signals" @default.
• W2603015963 cites W1561929708 @default.
• W2603015963 cites W1577163948 @default.
• W2603015963 cites W1577432691 @default.
• W2603015963 cites W1970928279 @default.
• W2603015963 cites W1978381974 @default.
• W2603015963 cites W1980595940 @default.
• W2603015963 cites W1983496390 @default.
• W2603015963 cites W1992392421 @default.
• W2603015963 cites W1994048562 @default.
• W2603015963 cites W2006134199 @default.
• W2603015963 cites W2012185428 @default.
• W2603015963 cites W2012599869 @default.
• W2603015963 cites W2032236594 @default.
• W2603015963 cites W2048192550 @default.
• W2603015963 cites W2051925766 @default.
• W2603015963 cites W2056583019 @default.
• W2603015963 cites W2075092589 @default.
• W2603015963 cites W2075895039 @default.
• W2603015963 cites W2076226407 @default.
• W2603015963 cites W2084415034 @default.
• W2603015963 cites W2093015317 @default.
• W2603015963 cites W2096597330 @default.
• W2603015963 cites W2099515730 @default.
• W2603015963 cites W2109083957 @default.
• W2603015963 cites W2116022929 @default.
• W2603015963 cites W2123860850 @default.
• W2603015963 cites W2125391899 @default.
• W2603015963 cites W2130327601 @default.
• W2603015963 cites W2133323250 @default.
• W2603015963 cites W2181763304 @default.
• W2603015963 cites W2265007952 @default.
• W2603015963 cites W2398187011 @default.
• W2603015963 cites W2420987309 @default.
• W2603015963 cites W2431563498 @default.
• W2603015963 cites W2431768031 @default.
• W2603015963 cites W2518066881 @default.
• W2603015963 cites W2519229098 @default.
• W2603015963 cites W2521913697 @default.
• W2603015963 cites W2550900444 @default.
• W2603015963 cites W2603009960 @default.
• W2603015963 cites W2964042506 @default.
• W2603015963 cites W3102883859 @default.
• W2603015963 cites W3104827932 @default.
• W2603015963 cites W396694640 @default.
• W2603015963 cites W4242522601 @default.
• W2603015963 cites W4245345046 @default.
• W2603015963 cites W4249845637 @default.
• W2603015963 cites W4256217162 @default.
• W2603015963 cites W653761051 @default.
• W2603015963 cites W2293423363 @default.
• W2603015963 doi "https://doi.org/10.1109/tsp.2017.2760288" @default.
• W2603015963 hasPublicationYear "2017" @default.
• W2603015963 type Work @default.
• W2603015963 sameAs 2603015963 @default.
• W2603015963 citedByCount "12" @default.
• W2603015963 countsByYear W26030159632019 @default.
• W2603015963 countsByYear W26030159632020 @default.
• W2603015963 countsByYear W26030159632021 @default.
• W2603015963 countsByYear W26030159632022 @default.
• W2603015963 crossrefType "journal-article" @default.
• W2603015963 hasAuthorship W2603015963A5028029032 @default.
• W2603015963 hasAuthorship W2603015963A5040878293 @default.
• W2603015963 hasAuthorship W2603015963A5047640717 @default.
• W2603015963 hasAuthorship W2603015963A5067509102 @default.
• W2603015963 hasBestOaLocation W26030159632 @default.
• W2603015963 hasConcept C104267543 @default.
• W2603015963 hasConcept C127413603 @default.
• W2603015963 hasConcept C134306372 @default.
• W2603015963 hasConcept C154945302 @default.
• W2603015963 hasConcept C2779593128 @default.
• W2603015963 hasConcept C33923547 @default.
• W2603015963 hasConcept C41008148 @default.
• W2603015963 hasConcept C529865628 @default.
• W2603015963 hasConcept C554190296 @default.
• W2603015963 hasConcept C555745239 @default.
• W2603015963 hasConcept C76155785 @default.
• W2603015963 hasConcept C78519656 @default.
• W2603015963 hasConceptScore W2603015963C104267543 @default.
• W2603015963 hasConceptScore W2603015963C127413603 @default.
• W2603015963 hasConceptScore W2603015963C134306372 @default.
• W2603015963 hasConceptScore W2603015963C154945302 @default.
• W2603015963 hasConceptScore W2603015963C2779593128 @default.
• W2603015963 hasConceptScore W2603015963C33923547 @default.
• W2603015963 hasConceptScore W2603015963C41008148 @default.
• W2603015963 hasConceptScore W2603015963C529865628 @default.
• W2603015963 hasConceptScore W2603015963C554190296 @default.
• W2603015963 hasConceptScore W2603015963C555745239 @default.
• W2603015963 hasConceptScore W2603015963C76155785 @default.
• W2603015963 hasConceptScore W2603015963C78519656 @default.

• next