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Documents Associated With Scientific Events Year : 2017

Cosparse Denoising: The Importance of Being Social

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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Dates and versions

hal-01510710 , version 1 (19-04-2017)

Identifiers

  • HAL Id : hal-01510710 , version 1

Cite

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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