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Found 7 papers, 3 papers with code
Démélange, déconvolution et débruitage conjoints d'un modèle convolutif parcimonieux avec dérive instrumentale, par pénalisation de rapports de normes ou quasi-normes lissées (PENDANTSS)
Denoising, detrending, deconvolution: usual restoration tasks, traditionally decoupled.
Dual-sPLS: a family of Dual Sparse Partial Least Squares regressions for feature selection and prediction with tunable sparsity; evaluation on simulated and near-infrared (NIR) data
A quantitative prediction objective can be enriched by qualitative data interpretation, for instance by locating the most influential features.
PENDANTSS: PEnalized Norm-ratios Disentangling Additive Noise, Trend and Sparse Spikes
Denoising, detrending, deconvolution: usual restoration tasks, traditionally decoupled.
Sparse Signal Reconstruction for Nonlinear Models via Piecewise Rational Optimization
We propose a method to reconstruct sparse signals degraded by a nonlinear distortion and acquired at a limited sampling rate.
HexaShrink, an exact scalable framework for hexahedral meshes with attributes and discontinuities: multiresolution rendering and storage of geoscience models
Efficient representations and storage are thus becoming "enabling technologies'' in HPC experimental and simulation science.
Image Analysis Using a Dual-Tree $M$-Band Wavelet Transform
We propose a 2D generalization to the $M$-band case of the dual-tree decomposition structure (initially proposed by N. Kingsbury and further investigated by I. Selesnick) based on a Hilbert pair of wavelets.
BARCHAN: Blob Alignment for Robust CHromatographic ANalysis
Comprehensive Two dimensional gas chromatography (GCxGC) plays a central role into the elucidation of complex samples.
