PENDANTSS: Noise, Trend and Sparse Spikes separation
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Paul Zheng, Emilie Chouzenoux, Laurent Duval (2023). PENDANTSS: Noise, Trend and Sparse Spikes separation (https://www.mathworks.com/matlabcentral/fileexchange/124425), MATLAB Central File Exchange. Retrieved February 6, 2023.
Paul Zheng, Emilie Chouzenoux, Laurent Duval. PENDANTSS: PEnalized Norm-ratios Disentangling Additive Noise, Trend and Sparse Spikes. Preprint, 2023. https://arxiv.org/abs/2301.01514
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Inspirado por: SOOT l1/l2 norm ratio sparse blind deconvolution, SPOQ: smooth, sparse ℓp-over-ℓq ratio regularization toolbox, BEADS: Baseline Estimation And Denoising with Sparsity
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