Basis Pursuit in sensor networks

Basis Pursuit (BP) finds a minimum ℓ 1 -norm vector z that satisfies the underdetermined linear system Mz = b, where the matrix M and vector b are given. Lately, BP has attracted attention because of its application in compressed sensing, where it is used to reconstruct signals by finding the sparse...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Mota, Joao F. C., Xavier, Joao M. F., Aguiar, Pedro M. Q., Puschel, Markus
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	basis pursuit Clustering algorithms compressed sensing Computers Convex optimization distributed algorithm Distributed algorithms Eigenvalues and eigenfunctions Optimization Partitioning algorithms sensor network Vectors
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