Near-maximizers of Cauchy wavelet concentration are quantitatively close to hyperbolic balls and to reproducing kernels, with explicit constants uniform in the wavelet parameter.
An Inverse Problem for Localization Operators
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abstract
A classical result of time-frequency analysis, obtained by I. Daubechies in 1988, states that the eigenfunctions of a time-frequency localization operator with circular localization domain and Gaussian analysis window are the Hermite functions. In this contribution, a converse of Daubechies' theorem is proved. More precisely, it is shown that, for simply connected localization domains, if one of the eigenfunctions of a time-frequency localization operator with Gaussian window is a Hermite function, then its localization domain is a disc. The general problem of obtaining, from some knowledge of its eigenfunctions, information about the symbol of a time-frequency localization operator, is denoted as the inverse problem, and the problem studied by Daubechies as the direct problem of time-frequency analysis. Here, we also solve the corresponding problem for wavelet localization, providing the inverse problem analogue of the direct problem studied by Daubechies and Paul.
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Uniform stability of concentration inequalities and applications
Near-maximizers of Cauchy wavelet concentration are quantitatively close to hyperbolic balls and to reproducing kernels, with explicit constants uniform in the wavelet parameter.