Jan Christian Hauffen

According to our database, Jan Christian Hauffen authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Deep Unfolding-Based Scalarization Approach for Power Control in D2D Networks.

Jan Christian Hauffen, Peter Jung, Giuseppe Caire

CoRR, 2024

Demucs for Data-Driven RF Signal Denoising.

Çagkan Yapar, Fabian Jaensch, Jan Christian Hauffen, Francesco Pezone, Peter Jung, Saeid K. Dehkordi, Giuseppe Caire

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Algorithm unfolding for block-sparse and MMV problems with reduced training overhead.

Jan Christian Hauffen, Peter Jung, Nicole Mücke

Frontiers Appl. Math. Stat., 2023

A physics-informed neural network framework for modeling obstacle-related equations.

Hamid El Bahja, Jan Christian Hauffen, Peter Jung, Bubacarr Bah, Issa Karambal

CoRR, 2023

Hierarchical Soft-Thresholding for Parameter Estimation in Beam-Space OTFS Integrated Sensing and Communication.

Saeid K. Dehkordi, Jan Christian Hauffen, Peter Jung, Giuseppe Caire

Proceedings of the IEEE International Conference on Communications, 2023

Extended Target Parameter Estimation and Tracking with an HDA Setup for ISAC Applications.

Fernando Pedraza, Saeid K. Dehkordi, Jan Christian Hauffen, Shuangyang Li, Peter Jung, Giuseppe Caire

Proceedings of the IEEE Globecom Workshops 2023, 2023

Variational Autoencoder-Based Parameter Estimation in Beam-Space OFDM Integrated Sensing and Communication.

Saeid K. Dehkordi, Jan Christian Hauffen, Fabian Jaensch, Peter Jung, Giuseppe Caire

Proceedings of the IEEE Global Communications Conference, 2023

2022

Photothermal-SR-Net: A Customized Deep Unfolding Neural Network for Photothermal Super Resolution Imaging.

Samim Ahmadi, Linh Kästner, Jan Christian Hauffen, Peter Jung, Mathias Ziegler

IEEE Trans. Instrum. Meas., 2022

Learned Block Iterative Shrinkage Thresholding Algorithm for Photothermal Super Resolution Imaging.

Jan Christian Hauffen, Linh Kästner, Samim Ahmadi, Peter Jung, Giuseppe Caire, Mathias Ziegler

Sensors, 2022