Fast algorithms for adaptive free knot spline approximation using nonuniform biorthogonal spline wavelets

Kai Bittner

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

New algorithms for fast wavelet transforms with biorthogonal spline wavelets on nonuniform grids are presented. In contrast to classical wavelet transforms, the algorithms are not based on filter coefficients, but on algorithms for B-spline expansions (differentiation, Oslo algorithm, etc.). Due to inherent properties of the spline wavelets, the algorithm can be modified for spline grid refinement or coarsening. The performance of the algorithms is demonstrated by numerical tests of the adaptive spline methods in circuit simulation.
Original languageEnglish
Pages (from-to)B283-B304
JournalSIAM JOURNAL ON SCIENTIFIC COMPUTING
Volume37
Issue number2
DOIs
Publication statusPublished - Apr 2015

Keywords

  • splines
  • spline wavelets
  • free knot spline approximation
  • Spline wavelets
  • Free knot spline approximation
  • Splines

Fingerprint

Dive into the research topics of 'Fast algorithms for adaptive free knot spline approximation using nonuniform biorthogonal spline wavelets'. Together they form a unique fingerprint.

Cite this