242 citations · 1.1k across the 56 of their papers we have counts for
6 papers · 1 filter
Pilot-Based Unsourced Random Access with a Massive MIMO Receiver: Interference Cancellation and Power Control
Alexander Fengler, Osman Musa, Peter Jung +1
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…
Solving Inverse Problems with Conditional-GAN Prior via Fast Network-Projected Gradient Descent
Muhammad Fadli Damara, Gregor Kornhardt, Peter Jung
The projected gradient descent (PGD) method has shown to be effective in recovering compressed signals described in a data-driven way by a generative model, i.e., a generator which…
A Survey of Uncertainty in Deep Neural Networks
Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali +11
Due to their increasing spread, confidence in neural network predictions became more and more important. However, basic neural networks do not deliver certainty estimates or suffer…
Proof methods for robust low-rank matrix recovery
Tim Fuchs, David Gross, Peter Jung +3
Low-rank matrix recovery problems arise naturally as mathematical formulations of various inverse problems, such as matrix completion, blind deconvolution, and phase retrieval. Ove…
Deep Unfolding of Iteratively Reweighted ADMM for Wireless RF Sensing
Udaya S. K. P. Miriya Thanthrige, Peter Jung, Aydin Sezgin
We address the detection of material defects, which are inside a layered material structure using compressive sensing based multiple-input and multiple-output (MIMO) wireless radar…
Super-Resolution for Doubly-Dispersive Channel Estimation
Robert Beinert, Peter Jung, Gabriele Steidl +1
In this work we consider the problem of identification and reconstruction of doubly-dispersive channel operators which are given by finite linear combinations of time-frequency shi…