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Conference Papers Year : 2013

Multi-dimensional sparse structured signal approximation using split bregman iterations

Abstract

The paper focuses on the sparse approximation of signals using overcomplete representations, such that it preserves the (prior) structure of multi-dimensional signals. The underlying optimization problem is tackled using a multi-dimensional extension of the split Bregman optimization approach. An extensive empirical evaluation shows how the proposed approach compares to the state of the art depending on the signal features.
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Dates and versions

hal-00862645 , version 1 (30-04-2019)

Identifiers

  • HAL Id : hal-00862645 , version 1

Cite

Yoann Isaac, Quentin Barthélemy, Cedric Gouy-Pailler, Jamal Atif, Michèle Sebag. Multi-dimensional sparse structured signal approximation using split bregman iterations. ICASSP 2013 - 38th IEEE International Conference on Acoustics, Speech and Signal Processing, May 2013, Vancouver, Canada. pp.3826-3830. ⟨hal-00862645⟩
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