Jeremy P. Vila — accepted AI-conference papers

2015

Adaptive damping and mean removal for the generalized approximate message passing algorithm

Jeremy P. Vila, Philip Schniter, Sundeep Rangan, Florent Krzakala, Lenka Zdeborová

ICASSP 2015accepted

The generalized approximate message passing (GAMP) algorithm is an efficient method of MAP or approximate-MMSE estimation of x observed from a noisy version of the transform coefficients z = Ax. In fact, for large zero-mean i.i.d sub-Gaussian A, GAMP is characterized by a state evolution whose fixed…

Cited by 0 Source ↗Scholar ↗

2015

Generalized approximate message passing for cosparse analysis compressive sensing

Mark Borgerding, Philip Schniter, Jeremy P. Vila, Sundeep Rangan

ICASSP 2015accepted

In cosparse analysis compressive sensing (CS), one seeks to estimate a non-sparse signal vector from noisy sub-Nyquist linear measurements by exploiting the knowledge that a given linear transform of the signal is cosparse, i.e., has sufficiently many zeros. We propose a novel approach to cosparse a…

Cited by 0 Source ↗Scholar ↗