On the use of high-frequency asymptotic concepts for the development of efficient adaptive numerical integration algorithms

The possibility of reducing the sampling point density in the numerical evaluation of radiation integrals is discussed by resorting to asymptotic high-frequency technique concepts. It is shown that the numerical evaluation of the radiation integrals becomes computationally more efficient by introduc...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:2010 URSI International Symposium on Electromagnetic Theory s. 837 - 840
Hlavní autoři: Carluccio, Giorgio, Albani, Matteo
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.08.2010
Témata:
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract The possibility of reducing the sampling point density in the numerical evaluation of radiation integrals is discussed by resorting to asymptotic high-frequency technique concepts. It is shown that the numerical evaluation of the radiation integrals becomes computationally more efficient by introducing an adaptive sampling. By this approach the number of sampling points results drastically smaller than the standard Nyquist sampling rate.
AbstractList The possibility of reducing the sampling point density in the numerical evaluation of radiation integrals is discussed by resorting to asymptotic high-frequency technique concepts. It is shown that the numerical evaluation of the radiation integrals becomes computationally more efficient by introducing an adaptive sampling. By this approach the number of sampling points results drastically smaller than the standard Nyquist sampling rate.
Author Carluccio, Giorgio
Albani, Matteo
Author_xml – sequence: 1
  givenname: Giorgio
  surname: Carluccio
  fullname: Carluccio, Giorgio
  email: giorgio.carluccio@dii.unisi.it
  organization: Dept. of Inf. Eng., Univ. of Siena, Siena, Italy
– sequence: 2
  givenname: Matteo
  surname: Albani
  fullname: Albani, Matteo
  email: matteo.albani@dii.unisi.it
  organization: Dept. of Inf. Eng., Univ. of Siena, Siena, Italy
BookMark eNotkMtqAjEYhVOoi2p9gkLJC4xNJheTZRHbChah2rXE-McJzCTTTBSGvnzVujoX-M7iDNF9iAEQeqZkQinRL99f60Ux_9ysJyU5d0KyKaP0Do31VFFeci6o4GqAhiUhWjNOJH1Av6uAcwX42AGODlf-UBUuwc8Rgu2x6fqmzTF7i20MFtrcYRfTldjDCerYNhDyhQTnvPWXYPamzf4EOBwbSN6aGvuQ4ZBM9jFgUx9i8rlqukc0cKbuYHzTEdq8zTezj2K5el_MXpeF1yQXBoQVjgnKDLWSSKYtt0LvHAcDUmktlSM7p4FKJ87OOOUUmL2QmitVWjZCT_-zHgC2bfKNSf32dg_7A-J4Ybc
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/URSI-EMTS.2010.5637311
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Xplore POP ALL
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Xplore / Electronic Library Online (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
EISBN 9781424451548
142445154X
EndPage 840
ExternalDocumentID 5637311
Genre orig-research
GroupedDBID 6IE
6IL
CBEJK
RIE
RIL
ID FETCH-LOGICAL-i90t-ae5c5f3513a1c60639c4c59bf4eae689968f0bf9e16f5f0baf8f8ead5694882c3
IEDL.DBID RIE
IngestDate Thu Jun 29 18:39:24 EDT 2023
IsPeerReviewed false
IsScholarly false
LCCN 2009934061
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i90t-ae5c5f3513a1c60639c4c59bf4eae689968f0bf9e16f5f0baf8f8ead5694882c3
PageCount 4
ParticipantIDs ieee_primary_5637311
PublicationCentury 2000
PublicationDate 2010-Aug.
PublicationDateYYYYMMDD 2010-08-01
PublicationDate_xml – month: 08
  year: 2010
  text: 2010-Aug.
PublicationDecade 2010
PublicationTitle 2010 URSI International Symposium on Electromagnetic Theory
PublicationTitleAbbrev URSI-EMTS
PublicationYear 2010
Publisher IEEE
Publisher_xml – name: IEEE
Score 1.4514048
Snippet The possibility of reducing the sampling point density in the numerical evaluation of radiation integrals is discussed by resorting to asymptotic...
SourceID ieee
SourceType Publisher
StartPage 837
SubjectTerms Accuracy
Antennas
Approximation methods
Scattering
Spline
Surface reconstruction
Surface topography
Title On the use of high-frequency asymptotic concepts for the development of efficient adaptive numerical integration algorithms
URI https://ieeexplore.ieee.org/document/5637311
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PS8MwGA1zePCksom_ycGjcY1t0vQsGwo6h5uy20iTLzrY2tEfwvCfN2nrhuDFW9o0FJK0eV--914QuqIQBzausGGqBRskCCUlMWhKmIi00pIHcbXf8fYYDodiOo1GLXS90cIAQEU-gxtXrHL5OlWl2yrrMe6HvhPy7oQhr7VajeiXelHv9WX8QPpPk3FN2Goe_nVqSrVoDPb_97oD1N2q7_Bos64cohYkHfT1nGCL1XCZA04Ndi7DxGQ1D3qNZb5erorUTgKsah1iji0arVroLS3ItYTKM8JdSC1X7meHk7JO2yzwj3mEHSwsF-9pNi8-lnkXTQb9yd09aQ5OIPPIK4gEppjxGfUlVdxhEBUoFsUmAAncBlhcGC82EVBumC1JI4ywM4rxyH7Ot8o_Qu0kTeAYYaq0ZtIZ2tg6BX4cWrgmPKO5BMGlOEEd12-zVW2NMWu67PTv22dor06-O_7cOWoXWQkXaFd9FvM8u6zG8xvJkqdV
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PS8MwFA5DBT2pbOJvc_BoXWubND3LxobbHK7KbiNNXnSwtaM_hOE_b9LWDcGLt6RpKCRp8r2873sPoVsHIk_bFdpM1WDD8nzuWBFIxyIskEJy6kXlfcfbwB-N2HQajBvobqOFAYCSfAb3plj68mUiCnNV1ibU9V0j5N01mbNqtVYt-3XsoP36MulbnWE4qShb9eu_8qaUx0b38H8fPEKtrf4OjzcnyzFqQNxEX88x1mgNFxngRGETZ9hSacWEXmOerZerPNHLAItKiZhhjUfLHnJLDDI9oYwaYSpc8pXZ7nBcVI6bBf4JH6GnC_PFe5LO849l1kJhtxM-9qw6dYI1D-zc4kAEUS5xXO4IalCI8AQJIuUBB6pNLMqUHakAHKqILnHFFNNritBA_9APwj1BO3ESwynCjpCScBPSRrcJcCNfAzZmK0k5MMrZGWqacZutquAYs3rIzv9-fIP2e-FwMBv0R08X6KByxRs23SXaydMCrtCe-MznWXpdzu03qB6qng
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2010+URSI+International+Symposium+on+Electromagnetic+Theory&rft.atitle=On+the+use+of+high-frequency+asymptotic+concepts+for+the+development+of+efficient+adaptive+numerical+integration+algorithms&rft.au=Carluccio%2C+Giorgio&rft.au=Albani%2C+Matteo&rft.date=2010-08-01&rft.pub=IEEE&rft.spage=837&rft.epage=840&rft_id=info:doi/10.1109%2FURSI-EMTS.2010.5637311&rft.externalDocID=5637311