7 citations · 17 across the 8 of their papers we have counts for
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cs.IT2015
An Approach to Complex Bayesian-optimal Approximate Message Passing
Gabor Hannak, Martin Mayer, Gerald Matz +1
In this work we aim to solve the compressed sensing problem for the case of a complex unknown vector by utilizing the Bayesian-optimal structured signal approximate message passing…
cs.IT2015★ 7 cited
Bayesian Optimal Approximate Message Passing to Recover Structured Sparse Signals
Martin Mayer, Norbert Goertz
We present a novel compressed sensing recovery algorithm - termed Bayesian Optimal Structured Signal Approximate Message Passing (BOSSAMP) - that jointly exploits the prior distrib…