Published November 2017 | Version v1
Journal article

Sharp rates of convergence for accumulated spectrograms

  • 1. Acoustics Research Institute, Austrian Academy of Sciences, Wohllebengasse 12-14, A-1040, Vienna (Austria)
  • 2. Program in Applied and Computational Mathematics, Princeton University, NJ 08544, United States of America (United States)

Description

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. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1361-6420/aa8d79

Additional details

Identifiers

Publishing Information

Journal Title
Inverse Problems
Journal Volume
33
Journal Issue
11
Journal Page Range
[12 p.]
ISSN
0266-5611
CODEN
INVPET

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
49037409
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Quality check status
Yes
Descriptors DEI
APPROXIMATIONS; CONVERGENCE; EIGENVALUES; SPECTRA;
Descriptors DEC
CALCULATION METHODS;