Title :
On introducing damping to Bayes optimal approximate message passing for compressed sensing
Author_Institution :
Department of Information Sciences, Hiroshima City University, Hiroshima 731-3194, Japan
Abstract :
Some damping methods are introduced to the Bayes optimal approximate message passing for compressed sensing. We show that these damping methods make the algorithm converge against a typical problem that algorithms without damping fail to converge by numerical experiments.
Keywords :
"Damping","Message passing","Convergence","Compressed sensing","Approximation algorithms","Sensors","Heuristic algorithms"
Conference_Titel :
Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2015 Asia-Pacific
DOI :
10.1109/APSIPA.2015.7415352
