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 language | English |
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Pages (from-to) | 229-243 |
Number of pages | 15 |
Journal | Journal of Approximation Theory |
Volume | 121 |
Issue number | 2 |
DOIs | |
State | Published - Apr 1 2003 |
Scopus Subject Areas
- Analysis
- Numerical Analysis
- General Mathematics
- Applied Mathematics
Keywords
- Perfect splines
- Sigma-Delta modulation
- Spline approximation