scientific article
From MaRDI portal
Publication:2817764
zbMath1346.94023MaRDI QIDQ2817764
Akira Hirabayashi, Laurent Condat
Publication date: 2 September 2016
Full work available at URL: http://stsip.org/vol14/vol14no1pp17-47.html
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
alternating projectionssparse recoverysuper-resolutionstructured low rank approximationfinite rate of innovationspike trainCadzow denoisingDirac pulses
Related Items (15)
A quadratically convergent algorithm for structured low-rank approximation ⋮ Wasserstein Loss for Image Synthesis and Restoration ⋮ Off-the-Grid Recovery of Piecewise Constant Images from Few Fourier Samples ⋮ Exact support recovery for sparse spikes deconvolution ⋮ Atomic norm minimization for decomposition into complex exponentials and optimal transport in Fourier domain ⋮ Optimal rank-1 Hankel approximation of matrices: Frobenius norm and spectral norm and Cadzow's algorithm ⋮ MultiDimensional Sparse Super-Resolution ⋮ Support recovery for sparse super-resolution of positive measures ⋮ On algebraic properties of low rank approximations of Prony systems ⋮ Accuracy of reconstruction of spike-trains with two near-colliding nodes ⋮ The sliding Frank–Wolfe algorithm and its application to super-resolution microscopy ⋮ A Convex Approach to Superresolution and Regularization of Lines in Images ⋮ Super-resolution for doubly-dispersive channel estimation ⋮ Complexity of model testing for dynamical systems with toric steady states ⋮ A penalized method of alternating projections for weighted low-rank Hankel matrix optimization
Uses Software
This page was built for publication:
