Search Results for author:
Found 4 papers, 0 papers with code
Deep Unrolling for Nonconvex Robust Principal Component Analysis
We design algorithms for Robust Principal Component Analysis (RPCA) which consists in decomposing a matrix into the sum of a low rank matrix and a sparse matrix.
Support Exploration Algorithm for Sparse Support Recovery
We introduce a new algorithm promoting sparsity called {\it Support Exploration Algorithm (SEA)} and analyze it in the context of support recovery/model selection problems. The algorithm can be interpreted as an instance of the {\it straight-through estimator (STE)} applied to the resolution of a sparse linear inverse problem.
Unmixing 2D HSQC NMR mixtures with $β$-NMF and sparsity
Nuclear Magnetic Resonance (NMR) spectroscopy is an efficient technique to analyze chemical mixtures in which one acquires spectra of the chemical mixtures along one ore more dimensions.
Medical Physics Optimization and Control
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.
