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Approximate Message Passing (AMP) | Multiple Measurement Vector (MMV)



AMP-MMV is a recently developed Bayesian algorithm for solving the multiple measurement vector (MMV) problem in compressed sensing, in cases with (possibly) substantial amplitude correlation across time. The technique leverages recent advances in approximate message passing (AMP) in order to rapidly obtain accurate solutions in high-dimensional settings.


News

An upgraded version of the software package (v1.1) has been posted to the download page. This updated version provides improved numerical precision stability and corrects certain computations for real-valued signals. (12/29/11)

AMP-MMV: An algorithm for efficient high-dimensional inference in the multiple measurement vector (MMV) problem

News: An updated software package (v1.1) has been posted (12/29/11)

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