Definability and stability of multiscale decompositions for manifold-valued data

Philipp Grohs, Johannes Wallner

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

We discuss multiscale representations of discrete manifold-valued data. As it turns out that we cannot expect general manifold analogs of biorthogonal wavelets to possess perfect reconstruction, we focus our attention on those constructions which are based on upscaling operators which are either interpolating or midpoint-interpolating. For definable multiscale decompositions we obtain a stability result. © 2012 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
Original languageEnglish (US)
Pages (from-to)1648-1664
Number of pages17
JournalJournal of the Franklin Institute
Volume349
Issue number5
DOIs
StatePublished - Jun 2012
Externally publishedYes

Fingerprint

Dive into the research topics of 'Definability and stability of multiscale decompositions for manifold-valued data'. Together they form a unique fingerprint.

Cite this