Jannik Springer

According to our database, Jannik Springer authored at least 10 papers between 2017 and 2024.

Collaborative distances:

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

2024

Calibration of Polarimetric Antenna Arrays Using Neural Networks.

Jannik Springer, Philipp Mikus, Marc Oispuu, Wolfgang Koch, Peter Knott

Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

Tensor Decomposition based Bearing-Only Target Tracking - an Analysis based on Real Data.

Joshua Gehlen, Martin Ulmke, Jannik Springer, Felix Govaers, Wolfgang Koch

Proceedings of the 27th International Conference on Information Fusion, 2024

2023

Array Calibration Using Neural Networks.

Jannik Springer, Marc Oispuu, Wolfgang Koch, Peter Knott

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

Experimental Direction Finding Results Using a Time-Multiplexed Co-Array Approach.

Clemens Allmann, Jannik Springer, Marc Oispuu, Wolfgang Koch

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022

Joint Localization and Calibration in Partly and Fully Uncalibrated Array Sensor Networks.

Jannik Springer, Marc Oispuu, Wolfgang Koch

Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2022

2021

Joint Calibration and Direct Position Determination for Moving Array Sensors.

Jannik Springer, Marc Oispuu, Wolfgang Koch

Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

A Co-Array Approach to Multi-Source 2D-DOA Estimation with Time-Multiplexed Array Elements.

Jannik Springer, Clemens Allmann, Marc Oispuu

Proceedings of the 29th European Signal Processing Conference, 2021

2019

Efficient Acceleration of CNNs for Semantic Segmentation on FPGAs.

Sebastian Vogel, Jannik Springer, Andre Guntoro, Gerd Ascheid

Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

Self-Supervised Quantization of Pre-Trained Neural Networks for Multiplierless Acceleration.

Sebastian Vogel, Jannik Springer, Andre Guntoro, Gerd Ascheid

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2017

VLSI implementation of LS-SVM training and classification using entropy based subset-selection.

Andreas Bytyn, Jannik Springer, Rainer Leupers, Gerd Ascheid

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017