Sparse/low-dimensional signal recovery, parameter estimation and regression

ROBUST HYPERSPECTRAL ANOMALY DETECTION WITH SIMULTANEOUS MIXED NOISE REMOVAL VIA CONSTRAINED CONVEX OPTIMIZATION

Improving Knowledge Distillation for Non-Intrusive Load Monitoring through Explainability Guided Learning

A SIMPLE SCHEME FOR COUPLED FACTORIZATION FOR HYPERSPECTRAL SUPER-RESOLUTION: EXPLOITING SPARSITY IN AN EASY WAY

Sparse asynchronous samples from networks of TEMS for reconstruction of classes of non-bandlimited signals

Topological Slepians: Maximally Localized Representations of Signals over Simplicial Complexes

LASSO-BASED FAST RESIDUAL RECOVERY FOR MODULO SAMPLING

Regularized EM algorithm

Fast robust principle component analysis using Gauss-Newton iterations

Product Graph Learning from Multi-attribute Graph Signals with Inter-layer Coupling

Sparse representations with cone atoms

A Compensated Shrinkage Affine Projection Algorithm for Debiased Sparse Adaptive Filtering

ASYMPTOTIC BIAS AND VARIANCE OF KERNEL RIDGE REGRESSION