VLSI implementation of LS-SVM training and classification using entropy based subset-selection. - Andreas Bytyn; Jannik Springer; Rainer Leupers; Gerd Ascheid (ISCAS, 2017)

Self-Supervised Quantization of Pre-Trained Neural Networks for Multiplierless Acceleration. - Sebastian Vogel; Jannik Springer; Andre Guntoro; Gerd Ascheid (DATE, 2019)

Efficient Acceleration of CNNs for Semantic Segmentation on FPGAs. - Sebastian Vogel; Jannik Springer; Andre Guntoro; Gerd Ascheid (FPGA, 2019)

A Co-Array Approach to Multi-Source 2D-DOA Estimation with Time-Multiplexed Array Elements. - Jannik Springer; Clemens Allmann; Marc Oispuu (EUSIPCO, 2021)

Joint Calibration and Direct Position Determination for Moving Array Sensors. - Jannik Springer; Marc Oispuu; Wolfgang Koch 001 (FUSION, 2021)

Joint Localization and Calibration in Partly and Fully Uncalibrated Array Sensor Networks. - Jannik Springer; Marc Oispuu; Wolfgang Koch 001 (MFI, 2022)

Experimental Direction Finding Results Using a Time-Multiplexed Co-Array Approach. - Clemens Allmann; Jannik Springer; Marc Oispuu; Wolfgang Koch 001 (CAMSAP, 2023)

Array Calibration Using Neural Networks. - Jannik Springer; Marc Oispuu; Wolfgang Koch 001; Peter Knott (CAMSAP, 2023)

Joint Emitter Localization and Calibration for Moving Array Sensors. - Jannik Springer; Marc Oispuu; Wolfgang Koch 001; Peter Knott (SDF-MFI, 2023)

Tensor Decomposition based Bearing-Only Target Tracking - an Analysis based on Real Data. - Joshua Gehlen; Martin Ulmke; Jannik Springer; Felix Govaers; Wolfgang Koch 001 (FUSION, 2024)

Calibration of Polarimetric Antenna Arrays Using Neural Networks. - Jannik Springer; Philipp Mikus; Marc Oispuu; Wolfgang Koch 001; Peter Knott (SAM, 2024)

Optimized Array Geometry for 2D-DOA Estimation Using a Time-Multiplexed Co-Array Approach. - Clemens Allmann; Jannik Springer; Marc Oispuu; Wolfgang Koch 001 (SDF, 2024)