Joint recovery algorithms using difference of innovations for distributed compressed sensing

Abstract

Distributed compressed sensing is concerned with representing an ensemble of jointly sparse signals using as few linear measurements as possible. Two novel joint reconstruction algorithms for distributed compressed sensing are presented in this paper. These algorithms are based on the idea of using one of the signals as side information; this allows to… (More)
DOI: 10.1109/ACSSC.2013.6810309

3 Figures and Tables

Topics

  • Presentations referencing similar topics