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L. Fatone, G. Rao, M. C. Recchioni and F. Zirilli, “High Performance Algorithms Based on a New Wavelet Expansion for Time Dependent Acoustic Obstacle Scattering,” Communications in Computational Physics, Vol. 2, No. 6, 2007, pp. 1139-1173.

has been cited by the following article:

• TITLE: Wavelet Bases Made of Piecewise Polynomial Functions: Theory and Applications

  AUTHORS: Lorella Fatone, Maria Cristina Recchioni, Francesco Zirilli

  KEYWORDS: Approximation Theory, Wavelet Bases, Kernel Sparsification, Image Compression

  JOURNAL NAME: Applied Mathematics, Vol.2 No.2, February 25, 2011

  ABSTRACT: We present wavelet bases made of piecewise (low degree) polynomial functions with an (arbitrary) assigned number of vanishing moments. We study some of the properties of these wavelet bases; in particular we consider their use in the approximation of functions and in numerical quadrature. We focus on two applications: integral kernel sparsification and digital image compression and reconstruction. In these application areas the use of these wavelet bases gives very satisfactory results.