Orthogonality criteria for compactly supported refinable functions and refinable function vectors

Jeffrey Lagarias, Yang Wang

Research output: Contribution to journalJournal Articlepeer-review

4 Citations (Scopus)

Abstract

A refinable function φ(x): ℝn → ℝ or, more generally, a refinable function vector Φ(x) = [φ1(x),…, φr(x)]T is an L1 solution of a system of (vector-valued) refinement equations involving expansion by a dilation matrix A, which is an expanding integer matrix. A refinable function vector is called orthogonal if(φj(x-α): α ε ℤn, 1 ≤ j ≤ r] form an orthogonal set of functions in L2 (ℝn). Compactly supported orthogonal refinable functions and function vectors can be used to construct orthonormal wavelet and multi-wavelet bases of L2 (ℝn). In this paper we give a comprehensive set of necessary and sufficient conditions for the orthogonality of compactly supported refinable functions and refinable function vectors.

Original languageEnglish
Pages (from-to)153-170
Number of pages18
JournalJournal of Fourier Analysis and Applications
Volume6
Issue number2
DOIs
Publication statusPublished - 2000
Externally publishedYes

Keywords

  • Multiwavelet
  • Orthogonal refinable function
  • Orthogonal refinable function vector
  • Orthogonality criteria
  • Wavelet

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