Conference paper

Full rank interpolatory subdivision schemes: Kronecker, filters and multiresolution


Authors listConti, Costanza; Cotronei, Mariantonia; Sauer, Tomas

Publication year2010

Pages1649-1659

JournalJournal of Computational and Applied Mathematics

Volume number233

Issue number7

ISSN0377-0427

Open access statusBronze

DOI Linkhttps://doi.org/10.1016/j.cam.2009.02.016

ConferenceInternational Conference on Multivariate Approximation and Interpolation with Applications

PublisherElsevier


Abstract
In this extension of earlier work, we point out several ways how a multiresolution analysis can be derived from a finitely supported interpolatory matrix mask which has a positive definite symbol on the unit circle except at -1. A major tool in this investigation will be subdivision schemes that are obtained by using convolution or correlation operations based on replacing the usual matrix multiplications by Kronecker products. (C) 2009 Elsevier B.V. All rights reserved.



Citation Styles

Harvard Citation styleConti, C., Cotronei, M. and Sauer, T. (2010) Full rank interpolatory subdivision schemes: Kronecker, filters and multiresolution, Journal of Computational and Applied Mathematics, 233(7), pp. 1649-1659. https://doi.org/10.1016/j.cam.2009.02.016

APA Citation styleConti, C., Cotronei, M., & Sauer, T. (2010). Full rank interpolatory subdivision schemes: Kronecker, filters and multiresolution. Journal of Computational and Applied Mathematics. 233(7), 1649-1659. https://doi.org/10.1016/j.cam.2009.02.016



Keywords


Full rankInterpolatory schemeKronecker productMultiresolution analysisVector subdivisionWAVELETS

Last updated on 2025-10-06 at 09:53