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Cosparse Denoising: The Importance of Being Social

Clément Gaultier 1 Srđan Kitić 2 Nancy Bertin 1 Rémi Gribonval 1 
1 PANAMA - Parcimonie et Nouveaux Algorithmes pour le Signal et la Modélisation Audio
Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : This work investigates the performance of cosparse vs. social cosparse regularizations in addressing the audio denoising problem. Beyond the cosparse (also known as sparse analysis) model, results show that exploiting structures in the time-frequency domain is beneficial to audio signal restoration for high degradation levels.
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https://hal.inria.fr/hal-01510710
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Submitted on : Wednesday, April 19, 2017 - 4:57:30 PM
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Clément Gaultier, Srđan Kitić, Nancy Bertin, Rémi Gribonval. Cosparse Denoising: The Importance of Being Social. The Signal Processing with Adaptive Sparse Structured Representations (SPARS) workshop, Jun 2017, Lisbon, Portugal. ⟨hal-01510710⟩

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