242 citations · 1.1k across the 56 of their papers we have counts for
10 papers · 1 filter
Pilot-Based Unsourced Random Access with a Massive MIMO Receiver in the Quasi-Static Fading Regime
Alexander Fengler, Peter Jung, Giuseppe Caire
In this work we treat the unsourced random access problem on a Rayleigh block-fading AWGN channel with multiple receive antennas. Specifically, we consider the slowly fading scenar…
Plug-And-Play Learned Gaussian-mixture Approximate Message Passing
Osman Musa, Peter Jung, Giuseppe Caire
Deep unfolding showed to be a very successful approach for accelerating and tuning classical signal processing algorithms. In this paper, we propose learned Gaussian-mixture AMP (L…
Defect Detection by MIMO Wireless Sensing based on Weighted Low-Rank plus Sparse Recovery
Udaya S. K. P. Miriya Thanthrige, Ali Kariminezhad, Peter Jung +1
We present a compressive sensing based defect detection by multiple input multiple output (MIMO) wireless radar. Here, defects are inside a layered material structure, therefore, d…
Neurally Augmented ALISTA
Freya Behrens, Jonathan Sauder, Peter Jung
It is well-established that many iterative sparse reconstruction algorithms can be unrolled to yield a learnable neural network for improved empirical performance. A prime example…
Robust Instance-Optimal Recovery of Sparse Signals at Unknown Noise Levels
Hendrik Bernd Petersen, Peter Jung
We consider the problem of sparse signal recovery from noisy measurements. Many of frequently used recovery methods rely on some sort of tuning depending on either noise or signal…
DeepInit Phase Retrieval
Martin Reiche, Peter Jung
This paper shows how data-driven deep generative models can be utilized to solve challenging phase retrieval problems, in which one wants to reconstruct a signal from only few inte…