3 citations · 3 across the 7 of their papers we have counts for
7 papers
Deep Unfolding of Fixed-Point Based Algorithm for Weighted Sum Rate Maximization
Jan Christian Hauffen, Chee Wei Tan, Giuseppe Caire
In this paper, we propose a novel approach that harnesses the standard interference function, specifically tailored to address the unique challenges of non-convex optimization in w…
Distributed Beam Alignment in sub-THz D2D Networks
Fernando Pedraza, Jan Christian Hauffen, Fabian Jaensch +2
Devices in a device-to-device (D2D) network operating in sub-THz frequencies require knowledge of the spatial channel that connects them to their peers. Acquiring such high dimensi…
Extended Target Parameter Estimation and Tracking with an HDA Setup for ISAC Applications
Fernando Pedraza, Saeid K. Dehkordi, Jan C. Hauffen +3
We investigate radar parameter estimation and beam tracking with a hybrid digital-analog (HDA) architecture in a multi-block measurement framework using an extended target model. I…
A physics-informed neural network framework for modeling obstacle-related equations
Hamid El Bahja, Jan Christian Hauffen, Peter Jung +2
Deep learning has been highly successful in some applications. Nevertheless, its use for solving partial differential equations (PDEs) has only been of recent interest with current…
Algorithm Unfolding for Block-sparse and MMV Problems with Reduced Training Overhead
Jan Christian Hauffen, Peter Jung, Nicole Mücke
In this paper we consider algorithm unfolding for the Multiple Measurement Vector (MMV) problem in the case where only few training samples are available. Algorithm unfolding has b…
Photothermal-SR-Net: A Customized Deep Unfolding Neural Network for Photothermal Super Resolution Imaging
Samim Ahmadi, Linh Kästner, Jan Christian Hauffen +2
This paper presents deep unfolding neural networks to handle inverse problems in photothermal radiometry enabling super resolution (SR) imaging. Photothermal imaging is a well-know…
Learned Block Iterative Shrinkage Thresholding Algorithm for Photothermal Super Resolution Imaging
Samim Ahmadi, Jan Christian Hauffen, Linh Kästner +3
Block-sparse regularization is already well-known in active thermal imaging and is used for multiple measurement based inverse problems. The main bottleneck of this method is the c…