摘要

Interpolating refinable function vectors with compact support are of interest in applications such as sampling theory, numerical algorithm, and signal processing. Han et al. (J. Comput. Appl. Math. 227: 254-270, 2009), constructed a class of compactly supported refinable function vectors with (d, r)-interpolating property. A continuous d-refinable function vector phi = (phi(1),..., phi(r))(T) is (d, r)-interpolating if phi(l)(m/r + k) = delta(k)delta(l-1-m), for all k is an element of Z, m = 0,1,..., r-1, l = 1,..., r. In this paper, based on the (d, r)-interpolating refinable function vector phi is an element of (C-1(R))(r), we shall construct r functions phi(r+ 1),..., phi(2r) such that the new d-refinable function vector phi(t) = (phi(T), phi(r+1),..., phi(2r))(T) belongs to (C-1(R))(2r) and has the Hermite-like interpolating property: phi l(m/r + k) = 0, phi(l)'(m/r + k) = delta(k)delta(l-r-1-m), for all k is an element of Z, m = 0,1,..., r - 1, l = r + 1,..., 2r. Then any function f is an element of C-1(R) can be interpolated and approximated by (f) over tilde = Sigma(r)(l=1)Sigma(k is an element of Z)f(k + l-1/r)phi(l)(.-k) + Sigma(j is an element of Z)Sigma(2r)(l'=r+1)[f'(j + l'-r-1/r) - Sigma(r)(l=1)Sigma(k is an element of Z)f(k + l-1/r)phi(l)' (j + l'-r-1/r - k)]phi(l')(.-j). That is, (f) over tilde ((kappa))( k + m/r) = f((kappa))(k + m/r), for all kappa is an element of {0, 1}, for all k is an element of Z, and m = 0, 1,..., r - 1. When phi has symmetry, it is proved that so does phi(t) by appropriately selecting some parameters. Moreover, we address the approximation order of f phi(t). A class of Hermite-like interpolating refinable function vectors with symmetry are constructed from phi such that they have higher approximation order than it. Several examples of Hermite-like interpolating refinable function vectors are given to illustrate our results. The truncated error estimate of the interpolating series above is given in Sect. 3. A numerical example of recovering signal is given in Sect. 5 to check the efficiency of the interpolating formula above.