Perfect spline approximation

Y. K. Hu, X. M. Yu

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Our study of perfect spline approximation reveals: (i) it is closely related to ∑Δ modulation used in one-bit quantization of bandlimited signals. In fact, they share the same recursive formulae, although in different contexts; (ii) the best rate of approximation by perfect splines of order r with equidistant knots of mesh size h is hr-1. This rate is optimal in the sense that a function can be approximated with a better rate if and only if it is a polynomial of degree <r. The uniqueness of best approximation is studied, too. Along the way, we also give a result on an extremal problem, that is, among all perfect splines with integer knots on ℝ, (multiples of) Euler splines have the smallest possible norms.

Original languageEnglish
Pages (from-to)229-243
Number of pages15
JournalJournal of Approximation Theory
Volume121
Issue number2
DOIs
StatePublished - Apr 1 2003

Scopus Subject Areas

  • Analysis
  • Numerical Analysis
  • General Mathematics
  • Applied Mathematics

Keywords

  • Perfect splines
  • Sigma-Delta modulation
  • Spline approximation

Fingerprint

Dive into the research topics of 'Perfect spline approximation'. Together they form a unique fingerprint.

Cite this