1. Sharp rates of convergence for accumulated spectrograms
- Author
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João M. Pereira, Luís Daniel Abreu, and José Luis Romero
- Subjects
Applied Mathematics ,Operator (physics) ,010102 general mathematics ,Mathematical analysis ,65F18, 94A12, 65N21, 42C25 ,020206 networking & telecommunications ,02 engineering and technology ,Inverse problem ,01 natural sciences ,Computer Science Applications ,Theoretical Computer Science ,Rate of convergence ,Mathematics - Classical Analysis and ODEs ,Computer Science::Sound ,Signal Processing ,Convergence (routing) ,0202 electrical engineering, electronic engineering, information engineering ,Spectrogram ,0101 mathematics ,Mathematical Physics ,Eigenvalues and eigenvectors ,Mathematics - 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., Comment: 14 pages, 2 figures
- Published
- 2017
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