Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling
type: Dataset
description: International audience
landing page: 1053-587X
keyword: adaptation-models
keyword: algorithm-design-and-analysis
keyword: analysis-sparsity
keyword: analytical-models
keyword: cosparsity
keyword: dictionaries
keyword: dictionary-learning
keyword: infoeu-reposemanticsarticle
keyword: infoinfo-lgcomputer-science-csmachine-learning-cslg
keyword: infoinfo-nacomputer-science-csnumerical-analysis-csna
keyword: infoinfo-tscomputer-science-cssignal-and-image-processing
keyword: journal-articles
keyword: low-dimensional-signal-model
keyword: mathmath-namathematics-mathnumerical-analysis-mathna
keyword: optimization
keyword: sparse-representations
keyword: spisignalengineering-sciences-physicssignal-and-image-processing
keyword: training
keyword: vectors
issued: 2026-05-11T23:41:55.092988
modified: 2026-05-11T23:41:55.092993
language: en
contact point: Organization
  fn: CCSD

test_moissonnage_selune
type: Agent

Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling
type: Distribution
format: HTML
access URL: https://inria.hal.science/hal-00805705
issued: 2026-05-11T23:41:55.168817
modified: 2026-05-11T23:41:55.058924