7 citations · 17 across the 8 of their papers we have counts for
8 papers
Generalized Approximate Message Passing for Unlimited Sampling of Sparse Signals
Osman Musa, Peter Jung, Norbert Goertz
In this paper we consider the generalized approximate message passing (GAMP) algorithm for recovering a sparse signal from modulo samples of randomized projections of the unknown s…
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…
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…
Graphical LASSO Based Model Selection for Time Series
Alexander Jung, Gabor Hannak, Norbert Görtz
We propose a novel graphical model selection (GMS) scheme for high-dimensional stationary time series or discrete time process. The method is based on a natural generalization of t…
On the Information-theoretic Limits of Graphical Model Selection for Gaussian Time Series
Gabor Hannak, Alexander Jung, Norbert Goertz
We consider the problem of inferring the conditional independence graph (CIG) of a multivariate stationary dicrete-time Gaussian random process based on a finite length observation…
Maximum Eigenmode Relaying with statistical Channel State Information at the Relay
Mehdi Molu, Norbert Goertz
Optimal precoding in the relay is investigated to maximize ergodic capacity of a multiple antenna relay channel. The source and the relay nodes are equipped with multiple antennas…