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Semi-orthogonal frame wavelets and Parseval frame wavelets associated with GMRA

Zhanwei Liu, Guoen Hu, Guochang Wu and Bin Jiang

Chaos, Solitons & Fractals, 2008, vol. 38, issue 5, 1449-1456

Abstract: In this paper, we study semi-orthogonal frame wavelets and Parseval frame wavelets (PFWs) in L2(Rd) with matrix dilations of form (Df)(x)=2f(Ax), where A is an arbitrary expanding d×d matrix with integer coefficients, such that |detA|=2. Firstly, we obtain a necessary and sufficient condition for a frame wavelet to be a semi-orthogonal frame wavelet. Secondly, we present a necessary condition for the semi-orthogonal frame wavelets. When the frame wavelets are the PFWs, we prove that all PFWs associated with generalized multiresolution analysis (GMRA) are equivalent to a closed subspace W0 for which {Tkψ:k∈Zd} is a Parseval frame (PF). Finally, by showing the relation between principal shift invariant spaces and their bracket function, we discover a property of the PFWs associated with GMRA by the PFWs’ minimal vector-filter. In each section, we construct concrete examples.

Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:38:y:2008:i:5:p:1449-1456

DOI: 10.1016/j.chaos.2008.04.005

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