Julian P. Merkofer

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 7

Top Topics

Covariance Matrix

Top Venues

IEEE Trans. Veh. Technol.

Publications

Roelof G. Hup, Julian P. Merkofer, Alex A. Bhogal, Ruud J. G. van Sloun, Reinder Haakma, Rik Vullings
Anomalous Change Point Detection Using Probabilistic Predictive Coding. CoRR (2024)
Julian P. Merkofer, Guy Revach, Nir Shlezinger, Tirza Routtenberg, Ruud J. G. van Sloun
DA-MUSIC: Data-Driven DoA Estimation via Deep Augmented MUSIC Algorithm. IEEE Trans. Veh. Technol. 73 (2) (2024)
Dor H. Shmuel, Julian P. Merkofer, Guy Revach, Ruud J. G. van Sloun, Nir Shlezinger
SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation. CoRR (2023)
Julian P. Merkofer, Dennis M. J. van de Sande, Sina Amirrajab, Gerhard S. Drenthen, Mitko Veta, Jacobus F. A. Jansen, Marcel Breeuwer, Ruud J. G. van Sloun
A Deep Learning Approach Utilizing Covariance Matrix Analysis for the ISBI Edited MRS Reconstruction Challenge. CoRR (2023)
Dor H. Shmuel, Julian P. Merkofer, Guy Revach, Ruud J. G. van Sloun, Nir Shlezinger
Deep Root Music Algorithm for Data-Driven Doa Estimation. ICASSP (2023)
Julian P. Merkofer, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun
Deep Augmented Music Algorithm for Data-Driven Doa Estimation. ICASSP (2022)
Julian P. Merkofer, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun
Deep Augmented MUSIC Algorithm for Data-Driven DoA Estimation. CoRR (2021)