2014
DOI: 10.1016/j.aim.2013.11.012
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Uniformity of measures with Fourier frames

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Cited by 87 publications
(42 citation statements)
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“…(4.2) In this situation, μ is called a tight frame measure for L 2 (Ω) (see [4,6]). It is clear that if μ is the Lebesgue measure on R d , then, by the Plancherel theorem, μ is a tight frame measure for L 2 (Ω) for any Ω.…”
Section: Unbounded Sets Of Finite Measuresmentioning
confidence: 99%
See 1 more Smart Citation
“…(4.2) In this situation, μ is called a tight frame measure for L 2 (Ω) (see [4,6]). It is clear that if μ is the Lebesgue measure on R d , then, by the Plancherel theorem, μ is a tight frame measure for L 2 (Ω) for any Ω.…”
Section: Unbounded Sets Of Finite Measuresmentioning
confidence: 99%
“…This characterization is motivated by the recent work of the second named author on Fourier frames of absolutely continuous measures [20,6]. In fact, we will see that Fourier frames of absolutely continuous measures are equivalent to frames of windowed exponentials generated by a single window (Proposition 5.2).…”
Section: Introductionmentioning
confidence: 96%
“…However, by a remark in [10], since {e n } ∞ n=0 is pseudo-dual to the (in this case Parseval) frame {g n } ∞ n=0 , the upper frame bound for {g n } ∞ n=0 implies a lower frame bound for {e n } ∞ n=0 . Moreover, some of the examples in [3,4] of measures that do not possess an exponential frame are singular, and hence if we normalize them to be probability measures, Theorem 1 applies.…”
Section: Theorem 3 (Kwapień and Mycielski)mentioning
confidence: 99%
“…It is known that there exist singular measures without exponential frames. In fact, Dutkay and Lai [3,4] showed that self-affine measures induced by iterated function systems with no overlap cannot possess exponential frames if the probability weights are not equal.…”
Section: Introductionmentioning
confidence: 99%
“…It has been an interesting question to produce singular measures with Fourier frames but not exponential orthonormal bases. By now we only know we can produce such measures by considering measures which are absolutely continuous with respect to a spectral measure with density bounded above and away from 0 or convolving a spectral measure with some discrete measures [HLL,DL1]. These methods are rather restrictive.…”
Section: Remarks and Open Questionsmentioning
confidence: 99%