Shifted B-spline interpolation filter

H. Olkkonen, Juuso T. Olkkonen

Research output: Contribution to journalArticleScientificpeer-review

Abstract

B-spline signal processing is an important tool in signal processing society. B-splines can be adapted in interpolation and approximation of underlying continuous signals and systems, adjustment of fractional time delays in communication devices and in numerical signal analysis. In this work, we introduce the shifted B-spline interpolation algorithm, where the B-spline kernel is shifted by a fraction D of the sampling period. Experimental tests show that the interpolation error is strongly dependent on Δ and attains a minimum at Δ = 0.25. We describe the z-transform filter for efficient parallel implementation of the shifted B-spline interpolation algorithm. The performance of the D-shifted B-spine interpolation filter is significantly higher compared with the cubic convolution interpolation and the standard B-spline interpolation.
Original languageEnglish
Pages (from-to)289-305
JournalCurrent Development in Theory and Applications of Wavelets
Volume4
Issue number3
Publication statusPublished - 2010
MoE publication typeA1 Journal article-refereed

Fingerprint Dive into the research topics of 'Shifted B-spline interpolation filter'. Together they form a unique fingerprint.

  • Cite this