The restricted isometry property for time-frequency structured random matrices
arXiv:1106.3184 · doi:10.1007/s00440-012-0441-4
Abstract
We establish the restricted isometry property for finite dimensional Gabor systems, that is, for families of time--frequency shifts of a randomly chosen window function. We show that the -th order restricted isometry constant of the associated Gabor synthesis matrix is small provided . This improves on previous estimates that exhibit quadratic scaling of in . Our proof develops bounds for a corresponding chaos process.
25 pages
References in corpus (2)
Cited by in corpus (14)
- Measure What Should be Measured: Progress and Challenges in Compressive Sensing
- RSP-Based Analysis for Sparsest and Least -Norm Solutions to Underdetermined Linear Systems
- Polynomial Fourier Domain as a Domain of Signal Sparsity
- The Faber-Krahn inequality for the Short-time Fourier transform
- Quasi-Linear Compressed Sensing
- Suprema of Chaos Processes and the Restricted Isometry Property
- Random Subsets of Structured Deterministic Frames have MANOVA Spectra
- Randomness Efficient Fast-Johnson-Lindenstrauss Transform with Applications in Differential Privacy and Compressed Sensing
- Symmetric Toeplitz-Structured Compressed Sensing Matrices
- Compressed Sensing Based on Random Symmetric Bernoulli Matrix
- Nonlinear approximation with nonstationary Gabor frames
- Preconditioning filter bank decompositions using structured normalized tight frames
- Mixed Compressed Sensing Based on Random Graphs
- Analog Coding Frame-work