RTL fast convolution using the mersenne number transform

cic.isFulltexttruees
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cic.lugarDesarrolloInstituto de Investigación en Informática es
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dc.date.accessioned2016-09-05T11:47:51Z
dc.date.available2016-09-05T11:47:51Z
dc.identifier.urihttps://digital.cic.gba.gob.ar/handle/11746/4139
dc.titleRTL fast convolution using the mersenne number transformen
dc.typeDocumento de conferenciaes
dcterms.abstractVHDL is a versatile high level language for the specification and simulation of hardware components. Here a functional VHDL model is presented for performing fast convolution based on Mersenne's number theoretic transform.\nFor filtering a rather long input sequence xn() we can decomposed it into a number of short segments, each of which can be processed individually. The output yn()then becomes a combination of partial convolutions. The superposition principle for linear operators is used here.\nEach partial convolution can be solved using the Discrete Fourier Transform (DFT) implementing a fast FFT (Fast Fourier Transform) algorithm. This DFT approach is the most popular.\nIn this paper we use the Mersenne Number Transform (MNT) as an alternative for the DFT in the framework of a register transfer level (RTL) implementation of the filter operation. Even when the MNT does not have a fast algorithm it can be see that RTL in the natural level of abstraction for the implementation of the MNT.\nThis work is conceived as part of an academic exercise in the use of VHDL for modeling a DSP algorithm all the way from the mathematical specification to the circuit implementation.en
dcterms.creator.authorBria, Oscar N.es
dcterms.creator.authorVillagarcía Wanza, Horacio Alfredoes
dcterms.descriptionEje: Procesamiento distribuido y paralelo. Tratamiento de señaleses
dcterms.extent9 p.es
dcterms.identifier.urlDocumento completoes
dcterms.isPartOf.issueIII CACICes
dcterms.isPartOf.seriesCongreso Argentino de Ciencias de la Computaciónes
dcterms.issued1997
dcterms.languageIngléses
dcterms.licenseAttribution 4.0 International (BY 4.0)es
dcterms.subjectFast Convolutionen
dcterms.subjectMersenne Number Transformen
dcterms.subjectLanguagesen
dcterms.subjectDistributeden
dcterms.subjectParallel processingen
dcterms.subjectRTLen
dcterms.subject.materiaCiencias de la Computaciónes
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