Abstract
We investigate the problem of constructing sparse time-frequency representations with flexible frequency resolution, studying the theory of nonstationary Gabor frames in the framework of decomposition spaces. Given a painless nonstationary Gabor frame, we construct a compatible decomposition space and prove that the nonstationary Gabor frame forms a Banach frame for the decomposition space. Furthermore, we show that the decomposition space norm can be completely characterized by a sparseness condition on the frame coefficients and we prove an upper bound on the approximation error that occurs when thresholding the frame coefficients for signals belonging to the decomposition space.
Original language | English |
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Publisher | arXiv |
Number of pages | 25 |
Publication status | Published - Jun 2016 |
Keywords
- Time-frequency analysis
- nonstationary Gabor frames
- decomposition spaces
- Banach frames
- nonlinear approximation