Back to Search
Start Over
Sharp rates of convergence for accumulated spectrograms
- Source :
- Inverse Problems. 33:115008
- Publication Year :
- 2017
- Publisher :
- IOP Publishing, 2017.
-
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.<br />Comment: 14 pages, 2 figures
- 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
Subjects
Details
- ISSN :
- 13616420 and 02665611
- Volume :
- 33
- Database :
- OpenAIRE
- Journal :
- Inverse Problems
- Accession number :
- edsair.doi.dedup.....a1ff1e81e0a1fd3086f57c04ab9fb16f
- Full Text :
- https://doi.org/10.1088/1361-6420/aa8d79