A short note on compressed sensing with partially known signal support
type: Item
instance of: scholarly article
title: A short note on compressed sensing with partially known signal support
zbMATH Open document ID: 1197.94063
published in: Signal Processing
publication date: 2010-09-27T00:00:00Z
full work available at URL: https://arxiv.org/abs/0908.0660
Mathematics Subject Classification ID: 94A12
zbMATH DE Number: 5791938
zbMATH Keywords: sparse signal recovery
zbMATH Keywords: compressed sensing
zbMATH Keywords: convex optimization
zbMATH Keywords: instance optimality
author: Laurent Jacques
describes a project that uses: PDCO
describes a project that uses: CoSaMP
MaRDI profile type: Publication
OpenAlex ID: W1978885364
arXiv ID: 0908.0660
cites work: The restricted isometry property and its implications for compressed sensing
cites work: Quantitative robust uncertainty principles and optimally sparse decompositions
cites work: Stable signal recovery from incomplete and inaccurate measurements
cites work: Decoding by Linear Programming
cites work: Atomic Decomposition by Basis Pursuit
cites work: Compressed sensing and best 𝑘-term approximation
cites work: Compressed sensing
cites work: Q3634482
cites work: CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
cites work: Modified-CS: Modifying Compressive Sensing for Problems With Partially Known Support
DOI: 10.1016/J.SIGPRO.2010.05.025
description: scientific article