BoundaryWavelets

Josefine Holm; Steffen Lønsmann Nielsen; Thomas Arildsen

doi:10.5278/vbn.295562517

BoundaryWavelets

Josefine Holm (Udvikler), Steffen Lønsmann Nielsen (Udvikler), Thomas Arildsen (Andet)

Publikation: Bidrag der ikke har en tekstform › Softwareprogram › Forskning

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Abstract

Wavelets are widely used for signal analysis and compression. More often than not the signal in question is only known on a bounded interval. Therefore, this package implements an orthonormal wavelet basis - including special boundary wavelets - for L^2([0,1]), as well as the Fourier transform of the basis.

Originalsprog	Engelsk
Publikationsdato	12 feb. 2019
Publikationsmedier	Online
DOI	https://doi.org/10.5278/vbn.295562517
Status	Udgivet - 12 feb. 2019

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10.5278/vbn.295562517

BoundaryWavelets-1.0Anden version, 6,07 MBLicens: Andet

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1 Tidsskriftartikel

Orthonormal, Moment Preserving Boundary Wavelet Scaling Functions in Python
Holm, J., Arildsen, T., Nielsen, M. & Lønsmann Nielsen, S., nov. 2020, I: SN Applied Sciences. 2, 12, 9 s., 2032.
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
1 Citationer (Scopus)

Citationsformater

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title = "BoundaryWavelets",

abstract = "Wavelets are widely used for signal analysis and compression. More often than not the signal in question is only known on a bounded interval. Therefore, this package implements an orthonormal wavelet basis - including special boundary wavelets - for L^2([0,1]), as well as the Fourier transform of the basis.",

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M3 - Computer programme

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BoundaryWavelets

Abstract

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Publikation

Orthonormal, Moment Preserving Boundary Wavelet Scaling Functions in Python

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