SPOQ: smooth, sparse ℓp-over-ℓq ratio regularization toolbox
Sparsity-promoting data restoration/recovery with SPOQ smooth/non-convex penalty with quasi-norm/norm ratios to emulate the ℓ0 count measure
http://www.laurent-duval.eu/opus-spoq-restoration-reconstruction-l0-sparsity-quasi-norm-ratio-lp-...
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Cite As
Afef Cherni, Emilie Chouzenoux, Laurent Duval, Jean-Christophe Pesquet, “SPOQ ℓp-over-ℓq Regularization for Sparse Signal Recovery Applied to Mass Spectrometry.” IEEE Transactions on Signal Processing, vol. 68, Institute of Electrical and Electronics Engineers (IEEE), 2020, pp. 6070–84, doi:10.1109/tsp.2020.3025731.
Afef Cherni, Emilie Chouzenoux, Laurent Duval, Jean-Christophe Pesquet (2023). SPOQ: smooth, sparse ℓp-over-ℓq ratio regularization toolbox (https://www.mathworks.com/matlabcentral/fileexchange/88897), MATLAB Central File Exchange. Retrieved February 6, 2023.
Acknowledgements
Inspired by: SOOT l1/l2 norm ratio sparse blind deconvolution
Inspired: PENDANTSS: Noise, Trend and Sparse Spikes separation
General Information
- Version 1.0.12 (981 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
