Fractional wavelet transform using an unbalanced lifting structure
buir.contributor.author | Çetin, A. Enis | |
buir.contributor.orcid | Çetin, A. Enis|0000-0002-3449-1958 | |
dc.citation.volumeNumber | 8058 | en_US |
dc.contributor.author | Habiboǧlu, Y. Hakan | en_US |
dc.contributor.author | Köse, Kıvanç | en_US |
dc.contributor.author | Çetin, A. Enis | en_US |
dc.coverage.spatial | Orlando, Florida, United States | en_US |
dc.date.accessioned | 2016-02-08T12:17:55Z | |
dc.date.available | 2016-02-08T12:17:55Z | |
dc.date.issued | 2011 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description | Date of Conference: 27–29 April 2011 | en_US |
dc.description | Conference name: Proceedings of SPIE, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX | en_US |
dc.description.abstract | In 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.doi | 10.1117/12.882408 | en_US |
dc.identifier.issn | 0277-786X | |
dc.identifier.uri | http://hdl.handle.net/11693/28344 | |
dc.language.iso | English | en_US |
dc.publisher | SPIE | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1117/12.882408 | en_US |
dc.source.title | Proceedings of SPIE | en_US |
dc.subject | Lifting | en_US |
dc.subject | Discrete-time signals | en_US |
dc.subject | Fractional wavelet transforms | en_US |
dc.subject | Higher dimensions | en_US |
dc.subject | Lagrange interpolations | en_US |
dc.subject | Lifting | en_US |
dc.subject | Lifting structure | en_US |
dc.subject | Multirate signal processing | en_US |
dc.subject | Original signal | en_US |
dc.subject | Rational numbers | en_US |
dc.subject | Sampling period | en_US |
dc.subject | Two-channel | en_US |
dc.subject | Biological systems | en_US |
dc.subject | Neural networks | en_US |
dc.subject | Signal processing | en_US |
dc.subject | Wavelet transforms | en_US |
dc.title | Fractional wavelet transform using an unbalanced lifting structure | en_US |
dc.type | Conference Paper | en_US |
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