1991
DOI: 10.1137/0522089
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Two-Scale Difference Equations. I. Existence and Global Regularity of Solutions

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Cited by 360 publications
(263 citation statements)
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“…First, when λ and all the d j are integers, the regularity of refinable functions is related to the spectrum of a certain matrix that is constructed by the refinement coefficients c j . In this case, a negative answer to this question was given in [6]. However, the matrix can only be constructed in the case when λ and all the d j are integers.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…First, when λ and all the d j are integers, the regularity of refinable functions is related to the spectrum of a certain matrix that is constructed by the refinement coefficients c j . In this case, a negative answer to this question was given in [6]. However, the matrix can only be constructed in the case when λ and all the d j are integers.…”
Section: Introductionmentioning
confidence: 99%
“…In [6], Daubechies and Lagarias showed that up to a scalar multiple the refinement equation (1) Moreover, they also showed the nonexistence of a C ∞ -refinable function with compact support in one dimension when the number λ and all the d j are integers. In [2], Cavaretta et al extended this result to higher dimensions by a matrix method.…”
Section: Introductionmentioning
confidence: 99%
“…where /(£) = /e' xi f{x) dx is the Fourier transform of/, and It is stated in [1] that it is not known how to prove the continuity of the de Rham function directly from (3). The purpose of this note is to provide a proof of their result using precisely (3).…”
Section: Consider the Following Dilatation Equation F(x)=f(3x) + A-a)mentioning
confidence: 99%
“…The purpose of this note is to provide a proof of their result using precisely (3). For results on more general dilation equations, we refer the reader to [1] and [2]. …”
mentioning
confidence: 99%
“…We give the matlab program based on Daubechies-Lagarias algorithm (Daubechies and Lagarias, 1991;1992), that calculates a value of scaling function at an arbitrary design point with a prescribed precision.…”
mentioning
confidence: 99%