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dc.contributor.authorOdland, Tommy
dc.date.accessioned2018-03-08T14:43:05Z
dc.date.available2018-03-08T14:43:05Z
dc.date.issued2017
dc.date.submitted2018-01-19T23:00:03Z
dc.identifier.urihttps://hdl.handle.net/1956/17498
dc.description.abstractFourier analysis expresses a function as a weighted sum of complex exponentials. The Fourier machinery can be applied when a function is defined on a locally compact abelian group (LCA). The groups R, T = R / Z, Z and Z_n are all LCAs of great interest, but numerical computations are almost always done on the finite group Z_n using the Fast Fourier Transform. To reduce a general problem to a numerical computation, sampling and periodization is necessary. In this thesis we present a new software library which facilitates Fourier analysis on elementary LCAs. The software allows the user to work directly with abstract mathematical objects, perform numerical computations and handle the relationship between discrete and continuous domains in a natural way. The specific combination of mathematical objects and operations available in the software developed is to our knowledge not found elsewhere. Efforts have been made to efficiently open-source, document and distribute the software library, which is now available to every user of the Python programming language.en_US
dc.language.isoengeng
dc.publisherThe University of Bergenen_US
dc.titleFourier analysis on abelian groups; theory and applicationsen_US
dc.typeMaster thesis
dc.date.updated2018-01-19T23:00:03Z
dc.rights.holderCopyright the Author. All rights reserveden_US
dc.description.degreeMasteroppgave i anvendt og beregningsorientert matematikken_US
dc.description.localcodeMAB399
dc.subject.nus753109eng
fs.subjectcodeMAB399
fs.unitcode12-11-00


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