In this paper, we build a multidimensional wavelet decomposition based on polyharmonic B-splines. The pre-wavelets are polyharmonic splines and so not tensor products of univariate wavelets. Explicit construction of the filters specified by the classical dyadic scaling relations is given and the decay of the functions and the filters is shown. We then design the decomposition/ recomposition algorithm by means of downsampling/upsampling and convolution products. © 2004 Elsevier Inc. All rights reserved.
Bacchelli, B., Bozzini, M., Rabut, C., Varas, M. (2005). Decomposition and reconstruction of multidimensional signals using polyharmonic pre-wavelets. APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS, 18(3), 282-299 [10.1016/j.acha.2004.11.007].
Decomposition and reconstruction of multidimensional signals using polyharmonic pre-wavelets
BACCHELLI, BARBARA;BOZZINI, MARIA TUGOMIRA;
2005
Abstract
In this paper, we build a multidimensional wavelet decomposition based on polyharmonic B-splines. The pre-wavelets are polyharmonic splines and so not tensor products of univariate wavelets. Explicit construction of the filters specified by the classical dyadic scaling relations is given and the decay of the functions and the filters is shown. We then design the decomposition/ recomposition algorithm by means of downsampling/upsampling and convolution products. © 2004 Elsevier Inc. All rights reserved.
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