Fractional wavelet transform using an unbalanced lifting structure

buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.volumeNumber8058en_US
dc.contributor.authorHabiboǧlu, Y. Hakanen_US
dc.contributor.authorKöse, Kıvançen_US
dc.contributor.authorÇetin, A. Enisen_US
dc.coverage.spatialOrlando, Florida, United Statesen_US
dc.date.accessioned2016-02-08T12:17:55Z
dc.date.available2016-02-08T12:17:55Z
dc.date.issued2011en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 27–29 April 2011en_US
dc.descriptionConference name: Proceedings of SPIE, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IXen_US
dc.description.abstractIn this article, we introduce the concept of fractional wavelet transform. Using a two-channel unbalanced lifting structure it is possible to decompose a given discrete-time signal x[n] sampled with period T into two sub-signals x1[n] and x2[n] whose average sampling periods are pT and qT, respectively. Fractions p and q are rational numbers satisfying the condition: 1/p + 1/q = 1. The low-band sub-signal x 1[n] comes from [0, π/p] band and the high-band wavelet signal x 2[n] comes from (π/p, π] band of the original signal x[n]. Filters used in the liftingstructure are designed using the Lagrange interpolation formula. It is straightforward to extend the proposed fractional wavelet transform to two or higher dimensions in a separable or non separable manner. © 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).en_US
dc.identifier.doi10.1117/12.882408en_US
dc.identifier.issn0277-786X
dc.identifier.urihttp://hdl.handle.net/11693/28344
dc.language.isoEnglishen_US
dc.publisherSPIEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1117/12.882408en_US
dc.source.titleProceedings of SPIEen_US
dc.subjectLiftingen_US
dc.subjectDiscrete-time signalsen_US
dc.subjectFractional wavelet transformsen_US
dc.subjectHigher dimensionsen_US
dc.subjectLagrange interpolationsen_US
dc.subjectLiftingen_US
dc.subjectLifting structureen_US
dc.subjectMultirate signal processingen_US
dc.subjectOriginal signalen_US
dc.subjectRational numbersen_US
dc.subjectSampling perioden_US
dc.subjectTwo-channelen_US
dc.subjectBiological systemsen_US
dc.subjectNeural networksen_US
dc.subjectSignal processingen_US
dc.subjectWavelet transformsen_US
dc.titleFractional wavelet transform using an unbalanced lifting structureen_US
dc.typeConference Paperen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Fractional wavelet transform using an unbalanced lifting structure.pdf
Size:
631.19 KB
Format:
Adobe Portable Document Format
Description:
Full printable version