2011
DOI: 10.1007/s00020-011-1907-y
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Wavelets from Laguerre Polynomials and Toeplitz-Type Operators

Abstract: We study a parameterized family of Toeplitz-type operators with respect to specific wavelets whose Fourier transforms are related to Laguerre polynomials. On the one hand, this choice of wavelets underlines the fact that these operators acting on wavelet subspaces share many properties with the classical Toeplitz operators acting on the Bergman spaces. On the other hand, it enables to study poly-Bergman spaces and Toeplitz operators acting on them from a different perspective. Restricting to symbols depending … Show more

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Cited by 23 publications
(30 citation statements)
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“…We present a number of examples and construct wide families of unbounded symbols for which the Calderón-Toeplitz operator is not only bounded, but also belongs to the algebra of bounded Calderón-Toeplitz operators generated by bounded symbols on R + having limits at the endpoints of [0, +∞]. This extends results for bounded symbols from [9] to certain unbounded ones.…”
Section: Introductionmentioning
confidence: 54%
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“…We present a number of examples and construct wide families of unbounded symbols for which the Calderón-Toeplitz operator is not only bounded, but also belongs to the algebra of bounded Calderón-Toeplitz operators generated by bounded symbols on R + having limits at the endpoints of [0, +∞]. This extends results for bounded symbols from [9] to certain unbounded ones.…”
Section: Introductionmentioning
confidence: 54%
“…In this paper we continue the detailed study of Calderón-Toeplitz operators T (k) a acting on wavelet subspace A (k) , which was initiated in [9]. For a bounded symbol a on G the Calderón-Toeplitz operator T (k) a is clearly bounded on A (k) .…”
Section: Introductionmentioning
confidence: 82%
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“…It is a basic tool in spectral estimation [7], it has been applied to the analysis of brain signals [47] and it is also an important step in the recent high-resolution time-frequency algorithm ConceFT [14]. The accumulated spectrogram has also been investigated in non-Euclidean contexts [20] -see also [25]. Numerical experiments show that when N is close to the critical value ≈ |Ω|, the sum of the N spectrograms that are most concentrated on Ω almost exhaust the domain Ω; i.e., the accumulated spectrogram looks approximately like 1 Ω .…”
Section: (When the Underlying Window G Is Clear From The Context We mentioning
confidence: 99%