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An Efficient Technique Based on Polynomial Chaos to Model the Uncertainty in the Resonance Frequency of Textile Antennas Due to Bending

contributor authorBoeykens, Freek
contributor authorRogier, Hendrik
contributor authorVallozzi, Luigi
date accessioned2020-03-12T18:34:55Z
date available2020-03-12T18:34:55Z
date issued2014
identifier issn0018-926X
identifier other6678552.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/963264?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleAn Efficient Technique Based on Polynomial Chaos to Model the Uncertainty in the Resonance Frequency of Textile Antennas Due to Bending
typeJournal Paper
contenttypeMetadata Only
identifier padid7996502
subject keywordsGaussian channels
subject keywordsMonte Carlo methods
subject keywordschaos
subject keywordsmicrostrip antennas
subject keywordspolynomial approximation
subject keywordsprobability
subject keywordsstochastic systems
subject keywordsGauss quadrature points
subject keywordsMonte Carlo simulations
subject keywordsantenna resonance frequency
subject keywordsbending conditions
subject keywordsbody morphology
subject keywordscurvature realizations
subject keywordsdedicated cavity
subject keywordsgeneralized polynomial chaos
subject keywordsnonintrusive stochastic method
subject keywordson-the-fly constructed sets
subject keywordsorthogonal polynomials
subject keywordsprobability density function
subject keywordstextile antennas
subject keywordsAntennas
subject keywordsGaussian distribution
subject keywordsMonte Carlo methods
identifier doi10.1109/TAP.2013.2294021
journal titleAntennas and Propagation, IEEE Transactions on
journal volume62
journal issue3
filesize493972
citations0


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