Physical Sciences → Engineering → Computational Mechanics
Sparse and Compressive Sensing Techniques
This cluster of papers focuses on the theory and applications of compressed sensing, including sparse representation, signal recovery, convex optimization, matrix completion, dictionary learning, orthogonal matching pursuit, robust reconstruction, and sparsity in signal processing.
57.6K works worldwide1.3M citations
Compressed SensingSparse RepresentationSignal RecoveryConvex OptimizationMatrix CompletionSparse ApproximationDictionary LearningOrthogonal Matching PursuitRobust ReconstructionSparsity in Signal Processing
