2017
DOI: 10.1088/1361-6420/aa8d79
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Sharp rates of convergence for accumulated spectrograms

Abstract: Abstract. We investigate an inverse problem in time-frequency localization: the approximation of the symbol of a time-frequency localization operator from partial spectral information by the method of accumulated spectrograms (the sum of the spectrograms corresponding to large eigenvalues). We derive a sharp bound for the rate of convergence of the accumulated spectrogram, improving on recent results.

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Cited by 21 publications
(29 citation statements)
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“…The main object of this paper is an in-depth treatment of the mixed-state localization operators from [29] and their associated time-frequency distributions from the perspective developed in [2,3], and to describe them we first recall some facts about quantum harmonic analysis [27,36]. Concretely, the convolution between two trace class operators and the convolution between a function and a trace class operator.…”
Section: Introductionmentioning
confidence: 99%
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“…The main object of this paper is an in-depth treatment of the mixed-state localization operators from [29] and their associated time-frequency distributions from the perspective developed in [2,3], and to describe them we first recall some facts about quantum harmonic analysis [27,36]. Concretely, the convolution between two trace class operators and the convolution between a function and a trace class operator.…”
Section: Introductionmentioning
confidence: 99%
“…. Quantum harmonic analysis seems to provide the natural setting for the investigations of eigenvalues and eigenvectors of (mixed-state) localization operators as in this setup many of the proofs in [2,3,14] become natural statements about convolutions between operators. An important aspect of this paper is that one can reformulate the results of [2] in terms of quantum harmonic analysis which then allows us to formulate their results for mixed-state localization operators.…”
Section: Introductionmentioning
confidence: 99%
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