2016
Graph signal recovery from incomplete and noisy information using approximate message passing
ICASSP 2016accepted
We consider the problem of recovering a graph signal from noisy and incomplete information. In particular, we propose an approximate message passing based iterative method for graph signal recovery. The recovery of the graph signal is based on noisy signal values at a small number of randomly select…