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Conference object . 2011
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https://doi.org/10.1117/12.882...
Article . 2011 . Peer-reviewed
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Fractional wavelet transform using an unbalanced lifting structure

Authors: Habiboǧlu, Y. Hakan; Köse, Kıvanç; Çetin, A. Enis;

Fractional wavelet transform using an unbalanced lifting structure

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 ]s ampled with periodT into two sub-signals x1[n ]a ndx2[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 x1[n] comes from [0 ,π /p ]b and and the high-band wavelet signal x2[n] comes from (π/p, π] band of the original signal x[n]. Filters used in the lifting structure 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.

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Turkey
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Keywords

Signal processing, Lifting, Biological systems, Multirate signal processing, Original signal, Two-channel, Lagrange interpolations, Wavelet transforms, Discrete-time signals, Fractional wavelet transforms, Higher dimensions, Rational numbers, Sampling period, Neural networks, Lifting structure

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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