title: Semi-orthogonal Frame Wavelets and Parseval Frame Wavelets Associated with GMRA.
abstract: In this paper, we study semi-orthogonal frame wavelets and Parseval frame wavelets(PFWs) in L(2)(R(d)) with matrix dilations of form (Df)(x)=2f(Ax), where A is an arbitrary expanding d x 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 W(0) for which {T(k) psi : k in Z(d)} is a PFW. 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.
authors.affiliation: College of Information Engineering, University of Information Engineering, Zhengzhou, 450002, China.
authors.forename: Zhanwei
authors.initials: Z
authors.lastname: Liu
authors.forename: Guoen
authors.initials: G
authors.lastname: Hu
authors.forename: Guochang
authors.initials: G
authors.lastname: Wu
authors.forename: Bin
authors.initials: B
authors.lastname: Jiang