On the construction of wavelets on a bounded interval
Author(s) -
Gerlind Plonka,
Kathi Selig,
Manfred Tasche
Publication year - 1995
Publication title -
advances in computational mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.003
H-Index - 61
eISSN - 1572-9044
pISSN - 1019-7168
DOI - 10.1007/bf02123481
Subject(s) - wavelet , discrete cosine transform , mathematics , multiresolution analysis , transformation (genetics) , interval (graph theory) , bounded function , chebyshev filter , chebyshev polynomials , trigonometric functions , algorithm , scaling , discrete wavelet transform , mathematical analysis , wavelet transform , computer science , artificial intelligence , combinatorics , geometry , image (mathematics) , biochemistry , chemistry , gene
International audienceThis paper presents a general approach to a multi resolution analysis and wavelet spaces on the interval $[-1, 1]$. Our method is based on the Chebyshev transform, corresponding shifts and the discrete cosine transformation (DCT). For the wavelet analysis of given functions, efficient decomposition and reconstruction algorithms are proposed using fast DCT-algorithms. As examples for scaling functions and wavelets, polynomials and transformed splines are considered
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