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Analysis of Compactly Supported Nonstationary Biorthogonal Wavelet Systems Based on Exponential B-Splines
Author(s) -
KyungYil Lee,
Jungho Yoon
Publication year - 2011
Publication title -
abstract and applied analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 56
eISSN - 1687-0409
pISSN - 1085-3375
DOI - 10.1155/2011/593436
Subject(s) - biorthogonal system , mathematics , wavelet , exponential function , stability (learning theory) , context (archaeology) , polynomial , pure mathematics , biorthogonal wavelet , mathematical analysis , wavelet transform , computer science , biology , paleontology , artificial intelligence , machine learning
This paper is concerned with analyzing the mathematical properties, such as theregularity and stability of nonstationary biorthogonal wavelet systems based on exponential B-splines.We first discuss the biorthogonality condition of the nonstationary refinable functions,and then we show that the refinable functions based on exponential B-splines have the sameregularities as the ones based on the polynomial B-splines of the corresponding orders. In thecontext of nonstationary wavelets, the stability of wavelet bases is not implied by the stability ofa refinable function. For this reason, we prove that the suggested nonstationary wavelets formRiesz bases for the space that they generate

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