Data Loss and Reconstruction in Sensor Networks

First Page		Document Content
Date: 2018-04-27 18:37:36 Algebra Mathematics Dimension reduction Linear algebra Numerical linear algebra Mathematical optimization Matrix theory Singular spectrum analysis Principal component analysis Singular value decomposition Compressed sensing Low-rank approximation		Data Loss and Reconstruction in Sensor Networks Add to Reading List Source URL: cpslab.cs.mcgill.ca Download Document from Source Website File Size: 267,83 KB Share Document on Facebook

	3990 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 58, NO. 8, AUGUST 2010 Compressed Sensing Performance Bounds Under Poisson Noise DocID: 1vnsb - View Document
	Magnetic Resonance in Medicine 63:116–Optimization of k-Space Trajectories for Compressed Sensing by Bayesian Experimental Design Matthias Seeger,1* Hannes Nickisch,2 Rolf Pohmann,2 and Bernhard Schölkopf2 DocID: 1uZkD - View Document
	Compressed Sensing Theory Projection Matrix Theory DocID: 1uwVY - View Document
	IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 59, NO. 9, SEPTEMBERPerformance Bounds for Expander-Based Compressed Sensing in Poisson Noise DocID: 1tZiC - View Document
	Convex Optimization M2 `1-recovery, compressed sensing A. d’Aspremont. M1 ENS. DocID: 1tLss - View Document