Random sampling and approximation of signals with bounded derivatives
From MaRDI portal
Publication:2067835
DOI10.1186/s13660-019-2059-xzbMath1499.94029OpenAlexW2944926666WikidataQ128019936 ScholiaQ128019936MaRDI QIDQ2067835
Publication date: 19 January 2022
Published in: Journal of Inequalities and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1186/s13660-019-2059-x
Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) General harmonic expansions, frames (42C15) Spline approximation (41A15) Sampling theory in information and communication theory (94A20)
Related Items
Weighted random sampling and reconstruction in general multivariate trigonometric polynomial spaces ⋮ Spherical random sampling of localized functions on 𝕊ⁿ⁻¹ ⋮ Random sampling of signals concentrated on compact set in localized reproducing kernel subspace of \(L^p (\mathbb{R}^n)\) ⋮ Random sampling in reproducing kernel subspaces of \(L^p(\mathbb{R}^n)\) ⋮ Random sampling in multi-window quasi shift-invariant spaces ⋮ Unnamed Item ⋮ Random average sampling and reconstruction in shift-invariant subspaces of mixed Lebesgue spaces
Cites Work
- Unnamed Item
- Unnamed Item
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- Improved sampling and reconstruction in spline subspaces
- Approximation of frame based missing data recovery
- Random sampling of bandlimited functions
- Relevant sampling in finitely generated shift-invariant spaces
- Random sampling in shift invariant spaces
- Pseudo-splines, wavelets and framelets
- Characterization of local sampling sequences for spline subspaces
- Scattered data reconstruction by regularization in B-spline and associated wavelet spaces
- Approximation with scaled shift-invariant spaces by means of quasi-projection operators
- Local reconstruction for sampling in shift-invariant spaces
- Sampling set conditions in weighted multiply generated shift-invariant spaces and their applications
- Learning rates of least-square regularized regression
- An analysis of wavelet frame based scattered data reconstruction
- Nonuniform Sampling and Reconstruction in Shift-Invariant Spaces
- Probability Inequalities for the Sum of Independent Random Variables
- Learning Theory
- Split Bregman Methods and Frame Based Image Restoration
- Image Estimation in the Presence of Irregular Sampling, Noise, and Pointing Jitter
- Average sampling and reconstruction in a reproducing kernel subspace of homogeneous type space
- Synchronization in Digital Communication Systems
- Probability Inequalities for Sums of Bounded Random Variables
- Random sampling and reconstruction in multiply generated shift-invariant spaces
