Super-resolution for doubly-dispersive channel estimation
From MaRDI portal
Publication:2073137
DOI10.1007/s43670-021-00016-0OpenAlexW3207043448WikidataQ114686944 ScholiaQ114686944MaRDI QIDQ2073137
Robert Beinert, Peter Jung, Tom Szollmann, Gabriele Drauschke
Publication date: 27 January 2022
Published in: Sampling Theory, Signal Processing, and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2101.11544
Equations involving linear operators, with operator unknowns (47A62) Numerical methods for ill-posed problems for integral equations (65R30) Sampling theory in information and communication theory (94A20) Numerical methods in Fourier analysis (65T99)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Local sampling and approximation of operators with bandlimited Kohn-Nirenberg symbols
- MUSIC for single-snapshot spectral estimation: stability and super-resolution
- Sparsity in time-frequency representations
- Numerical Fourier analysis
- Prony's method under an almost sharp multivariate Ingham inequality
- Least angle regression. (With discussion)
- The convex geometry of linear inverse problems
- The generalized operator based Prony method
- Parameter estimation for multivariate exponential sums
- Coordinate descent algorithms for lasso penalized regression
- Near Minimax Line Spectral Estimation
- Exact Solutions to Super Resolution on Semi-Algebraic Domains in Higher Dimensions
- Review of 'Theory of Random Functions and its Application to Problems of Automatic Control' (Pugachev, V. S.; 1957)
- Greed is Good: Algorithmic Results for Sparse Approximation
- Atomic Decomposition by Basis Pursuit
- Sensitivity to Basis Mismatch in Compressed Sensing
- Super-resolution radar
- An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
- Inverse problems in spaces of measures
- The sliding Frank–Wolfe algorithm and its application to super-resolution microscopy
- Sparse regularization on thin grids I: the Lasso
- Orthogonal Matching Pursuit for Sparse Signal Recovery With Noise
- Measure Theory
- Towards a Mathematical Theory of Super‐resolution
- Signal Recovery by Proximal Forward-Backward Splitting
- Measurement of random time-variant linear channels
- The Alternating Descent Conditional Gradient Method for Sparse Inverse Problems
- Positive trigonometric polynomials and signal processing applications
- Adaptive greedy approximations
This page was built for publication: Super-resolution for doubly-dispersive channel estimation