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ORCIDJan Christian Hauffen
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2020 – today
- 2024
[c4]Çagkan Yapar, Fabian Jaensch, Jan Christian Hauffen, Francesco Pezone, Peter Jung, Saeid K. Dehkordi, Giuseppe Caire:
Demucs for Data-Driven RF Signal Denoising. ICASSP Workshops 2024: 95-96- 2023
- [j3]Jan Christian Hauffen, Peter Jung
, Nicole Mücke:
Algorithm unfolding for block-sparse and MMV problems with reduced training overhead. Frontiers Appl. Math. Stat. 9 (2023) - [c3]Fernando Pedraza, Saeid K. Dehkordi, Jan Christian Hauffen, Shuangyang Li, Peter Jung, Giuseppe Caire:
Extended Target Parameter Estimation and Tracking with an HDA Setup for ISAC Applications. GLOBECOM (Workshops) 2023: 117-122 - [c2]Saeid K. Dehkordi, Jan Christian Hauffen, Fabian Jaensch, Peter Jung, Giuseppe Caire:
Variational Autoencoder-Based Parameter Estimation in Beam-Space OFDM Integrated Sensing and Communication. GLOBECOM 2023: 3904-3909 - [c1]Saeid K. Dehkordi, Jan Christian Hauffen, Peter Jung, Giuseppe Caire:
Hierarchical Soft-Thresholding for Parameter Estimation in Beam-Space OTFS Integrated Sensing and Communication. ICC 2023: 2939-2945 - [i4]Hamid El Bahja, Jan Christian Hauffen, Peter Jung, Bubacarr Bah, Issa Karambal:
A physics-informed neural network framework for modeling obstacle-related equations. CoRR abs/2304.03552 (2023) - 2022
- [j2]Jan Christian Hauffen, Linh Kästner, Samim Ahmadi, Peter Jung, Giuseppe Caire, Mathias Ziegler:
Learned Block Iterative Shrinkage Thresholding Algorithm for Photothermal Super Resolution Imaging. Sensors 22(15): 5533 (2022) - [j1]Samim Ahmadi, Linh Kästner, Jan Christian Hauffen, Peter Jung, Mathias Ziegler:
Photothermal-SR-Net: A Customized Deep Unfolding Neural Network for Photothermal Super Resolution Imaging. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - [i3]Jan Christian Hauffen, Peter Jung, Nicole Mücke:
Algorithm Unfolding for Block-sparse and MMV Problems with Reduced Training Overhead. CoRR abs/2209.14139 (2022) - 2021
- [i2]Samim Ahmadi, Linh Kästner, Jan Christian Hauffen, Peter Jung, Mathias Ziegler:
Photothermal-SR-Net: A Customized Deep Unfolding Neural Network for Photothermal Super Resolution Imaging. CoRR abs/2104.10563 (2021) - 2020
- [i1]Samim Ahmadi, Jan Christian Hauffen, Linh Kästner, Peter Jung, Giuseppe Caire, Mathias Ziegler:
Learned Block Iterative Shrinkage Thresholding Algorithm for Photothermal Super Resolution Imaging. CoRR abs/2012.03547 (2020)
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