activity
20232026
most citedEnd-to-End Training of Neural Networks for Automotive Radar Interference Mitigation

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SP2026

On the Fractional Fourier Transform for FMCW Radar Interference Mitigation

Christian Oswald, Josef Kulmer, Franz Pernkopf

In this paper, we extend our method [1] for FMCW radar mutual interference mitigation (IM) based on the discrete fractional Fourier transform (DFrFT). Firstly, we propose a radar s…

cs.SD2026

Lightweight and perceptually-guided voice conversion for electro-laryngeal speech

Benedikt Mayrhofer, Franz Pernkopf, Philipp Aichinger +1

Electro-laryngeal (EL) speech is characterized by constant pitch, limited prosody, and mechanical noise, reducing naturalness and intelligibility. We propose a lightweight adaptati…

eess.SP2025

On Multiangle Discrete Fractional Periodic Transforms

Christian Oswald, Franz Pernkopf

The efficient multiangle centered discrete fractional Fourier transform (MA-CDFRFT) [1] has proven to be a useful tool for time-frequency analysis; in this paper, we generalize the…

eess.SP2025

FMCW Radar Interference Mitigation based on the Fractional Fourier Transform

Christian Oswald, Franz Pernkopf

In this paper, we propose a novel method for frequency modulated continuous wave (FMCW) radar mutual interference mitigation (IM) based on the discrete fractional Fourier transform…

cs.LG2023★ 1 cited

End-to-End Training of Neural Networks for Automotive Radar Interference Mitigation

Christian Oswald, Mate Toth, Paul Meissner +1

In this paper we propose a new method for training neural networks (NNs) for frequency modulated continuous wave (FMCW) radar mutual interference mitigation. Instead of training NN…