Optimal quantization for compressive sensing under message passing reconstruction

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...

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Bibliographic Details
Main Authors: Kamilov, Ulugbek (Contributor), Goyal, Vivek K. (Contributor), Rangan, Sundeep (Author)
Other Authors: Massachusetts Institute of Technology. Research Laboratory of Electronics (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2012-09-18T15:18:42Z.
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