2007
DOI: 10.1016/j.amc.2006.12.064
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Computational methods for integrals involving functions and Daubechies wavelets

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Cited by 18 publications
(19 citation statements)
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“…Assuming the signal f ( t )∈ L 2 ( R ), its discrete wavelet expansion can be expressed as (You et al , 2003, 2004) and the wavelet power spectrum is Among wavelet functions, Haar wavelet is the earliest compact support orthogonal wavelet (Haar, 1910); real Morlet wavelet function has strong nonlinearity and stability (Neupauer and Powell, 2005) and Daubechies wavelets, a family of orthogonal wavelets defining a discrete wavelet transform and characterized, are most commonly used and have many good properties (Maleknejad et al , 2007).…”
Section: Methodsmentioning
confidence: 99%
“…Assuming the signal f ( t )∈ L 2 ( R ), its discrete wavelet expansion can be expressed as (You et al , 2003, 2004) and the wavelet power spectrum is Among wavelet functions, Haar wavelet is the earliest compact support orthogonal wavelet (Haar, 1910); real Morlet wavelet function has strong nonlinearity and stability (Neupauer and Powell, 2005) and Daubechies wavelets, a family of orthogonal wavelets defining a discrete wavelet transform and characterized, are most commonly used and have many good properties (Maleknejad et al , 2007).…”
Section: Methodsmentioning
confidence: 99%
“…Among wavelet functions, Haar wavelet is the earliest compact support orthogonal wavelet (Haar, 1910); real Morlet wavelet function has strong nonlinearity and stability (Neupauer and Powell, 2005) and Daubechies wavelets, a family of orthogonal wavelets defining a discrete wavelet transform and characterized, are most commonly used and have many good properties (Maleknejad et al, 2007). Haar wavelet, Morlet wavelet and Daubechies wavelet were used.…”
Section: Wavelet Transformmentioning
confidence: 99%
“…Barinka et al employed this approach to derive quadrature rules for cardinal B-splines. Later on, Maleknejad et al [10] employed the same approach on the Daubechies' family of classical, extremal phase wavelets [4].…”
Section: Introductionmentioning
confidence: 99%
“…In this work, we follow the methodology proposed by Barinka et al to derive weighted Gaussian quadratures to integrals involving CDV scaling functions. Since the CDV functions were developed from the Daubechies' leastasymmetric (i.e., symmlet) family [5], it is natural to consider [10] as a starting point. The algorithm proposed therein is improved by avoiding the evaluation of determinants with the aid of the Chebyshev algorithm [7] and by a more convenient selection of the support of the interior scaling functions.…”
Section: Introductionmentioning
confidence: 99%