93 citations · 524 across the 46 of their papers we have counts for
4 papers · 1 filter
Information Complexity and Estimation
Dror Baron
We consider an input generated by an unknown stationary ergodic source that enters a signal processing system , resulting in . We observe through a noisy cha…
An MCMC Approach to Universal Lossy Compression of Analog Sources
Dror Baron, Tsachy Weissman
Motivated by the Markov chain Monte Carlo (MCMC) approach to the compression of discrete sources developed by Jalali and Weissman, we propose a lossy compression algorithm for anal…
Belief propagation for joint sparse recovery
Jongmin Kim, Woohyuk Chang, Bangchul Jung +2
Compressed sensing (CS) demonstrates that sparse signals can be recovered from underdetermined linear measurements. We focus on the joint sparse recovery problem where multiple sig…
Measurement Bounds for Sparse Signal Ensembles via Graphical Models
Marco F. Duarte, Michael B. Wakin, Dror Baron +2
In compressive sensing, a small collection of linear projections of a sparse signal contains enough information to permit signal recovery. Distributed compressive sensing (DCS) ext…