Optimal quantization for compressive sensing under message passing reconstruction

We consider the optimal quantization of compressive sensing measurements along with estimation from quantized samples using generalized approximate message passing (GAMP). GAMP is an iterative reconstruction scheme inspired by the belief propagation algorithm on bipartite graphs which generalizes ap...

Full description

Bibliographic Details
Main Authors: Kamilov, Ulugbek, Goyal, Vivek K., Rangan, Sundeep
Other Authors: Massachusetts Institute of Technology. Research Laboratory of Electronics
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2012
Online Access:http://hdl.handle.net/1721.1/73036