Description
Abstract:A general procedure for constructing multivariate non-tensor-product wavelets that generate an orthogonal decomposition of L^2(R)^s, s>=1, is introduced. This procedure is applied to yield compactly supported spline-wavelets based on the multiresolution analysis of L^2(R)^s 1<=s<=3, generated by any box spline whose direction set constitutes a unimodular matrix. In particular, when univariate cardinal B-splines are considered, the minimally supported cardinal spline-wavelets of Chui and Wang are recovered. The duality principle, dual basis, and reproducing kernels are also studied in a more general multivariate setting.
Item Description:"September 1990."
"Revised: February, 1991"--Page 1.
Funding information taken from page 1.
Physical Description:29 pages ; 28 cm
Bibliography:Includes bibliographical references (page 29).