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Sparsity and persistence: mixed norms provide simple signal models with dependent coefficients.

, and . Signal Image Video Process., 3 (3): 251-264 (2009)

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Audio declipping with social sparsity., , and . ICASSP, page 1577-1578. IEEE, (2014)An unified approach for blind source separation using sparsity and decorrelation., and . EUSIPCO, page 1736-1740. IEEE, (2015)Beyond the Narrowband Approximation: Wideband Convex Methods for Under-Determined Reverberant Audio Source Separation., , and . IEEE Trans. Speech Audio Process., 18 (7): 1818-1829 (2010)Low-Rank Time-Frequency Synthesis., and . NIPS, page 3563-3571. (2014)Underdetermined Reverberant Blind Source Separation: Sparse Approaches for Multiplicative and Convolutive Narrowband Approximation., and . IEEE ACM Trans. Audio Speech Lang. Process., 27 (2): 442-456 (2019)a Family of Random Waveform Models for Audio Coding., and . ICASSP (3), page 472-475. IEEE, (2006)Sparsity and low-rank amplitude based blind Source Separation., and . ICASSP, page 571-575. IEEE, (2017)Adapted and Adaptive Linear Time-Frequency Representations: A Synthesis Point of View., , , and . IEEE Signal Process. Mag., 30 (6): 20-31 (2013)An unsupervised algorithm for hybrid/morphological signal decomposition., and . ICASSP, page 4112-4115. IEEE, (2011)Water Residence Time estimation by 1D deconvolution in the form of a l2-regularized inverse problem with smoothness, positivity and causality constraints., , , and . Comput. Geosci., (2018)