SPADE Toolbox

This demo code allows to reproduce audio declipping and audio denoising experiments from the following publications:[1] Gaultier, C., Kitić, S., Bertin, N., & Gribonval, R. (2017, August). AUDASCITY: AUdio denoising by adaptive social CosparsITY. In 2017 25th European Signal Processing Conference (EUSIPCO) (pp. 1265-1269). IEEE.[2] Gaultier, C., Kitić, S., Bertin, N., & Gribonval, R. Cosparse Denoising: The Importance of Being Social. The Signal Processing with Adaptive Sparse Structured Representations (SPARS) workshop, Jun 2017, Lisbon, Portugal.[3] Gaultier, C., Bertin, N., Kitić, S., & Gribonval, R. A modeling and algorithmic framework for (non)social (co)sparse audio restoration, Research report[4] Gaultier, C., Design and evaluation of sparse models and algorithms for audio inverse problems, PhD, University of Rennes 1[5] Gaultier, C., Kitić, S., Gribonval, R., & Bertin, N. Sparsity-based audio declipping methods: selected overview, new algorithms, and large-scale evaluation (to appear