Optimal incorporation of sparsity information by weighted 1 optimization
Abstract
Compressed sensing of sparse sources can be improved by incorporating prior knowledge of the source. In this paper we demonstrate a method for optimal selection of weights in weighted L1 norm minimization for a noiseless reconstruction model, and show the improvements in compression that can be achieved.
0
Turn this paper into a lesson
ArcXiv compiles a structured reading guide from this paper's metadata: plain-English importance, contributions, prerequisite concepts, which sections to read first, flashcards, and a quiz. Grounded in the abstract, never invented.