2003
DOI: 10.1137/s0036141002406758
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On the Oversampling of Affine Wavelet Frames

Abstract: The properties of oversampled affine frames are considered here with two main goals in mind. The first goal is to generalize the approach of Chui and Shi to the matrix oversampling setting for expanding, lattice-preserving dilations, whereby we obtain a new proof of the Second Oversampling Theorem for affine frames. The Second Oversampling Theorem, proven originally by Ron and Shen via Gramian analysis, states that oversampling an affine frame with dilation M by a matrix P will result in a frame with the same … Show more

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Cited by 6 publications
(10 citation statements)
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“…This result was later extended and generalized in other works (see, for instance, [4,5,[8][9][10]13,19,[21][22][23], including the second over-sampling theorem in [8]). …”
Section: Problemmentioning
confidence: 70%
See 2 more Smart Citations
“…This result was later extended and generalized in other works (see, for instance, [4,5,[8][9][10]13,19,[21][22][23], including the second over-sampling theorem in [8]). …”
Section: Problemmentioning
confidence: 70%
“…A lot of effort has been devoted to find over-sampling rates P for the purpose of tight-frame preservation over-sampling in the literature (see, for example, [5,[8][9][10]13,19,[21][22][23]25]). …”
Section: Over-sampling Rates For Tight Frame Preservationmentioning
confidence: 99%
See 1 more Smart Citation
“…We have, with But according to the proof of Theorem 3.2 in [9], this quantity is bigger than A T θ r f 2 = A f 2 = A T P θ r S f 2 . This yields the lower bound.…”
Section: Lemma 42 Each F ∈ H Can Be Written Uniquely Asmentioning
confidence: 89%
“…This type of oversampling was introduced by Chui and Shi in [6] for one dimension and scaling by 2. Since then, the result has been generalized and has become known as "the second oversampling theorem"; see [12,5,11,9]. For details on the history of the second oversampling theorem we refer to [9].…”
Section: A Frame Of Functions On R Dmentioning
confidence: 99%