On introducing damping to Bayes optimal approximate message passing for compressed sensing

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.