Lehrstuhl für Theoretische Nachrichtentechnik und Digitale Signalverarbeitung

Publikationen



2023
445.
S. Schröder, J. Reermann, S. Barnes, D. Kraus and A. Kummert, "Study on pulse form design for monostatic MIMO sonar systems" in OCEANS 2023 - Limerick, 2023, pp. 1-8.
2022
444.
G. Maus and D. Brückmann, "A Deep Dive into Bluetooth Direction Finding" in Wireless Congress: Systems & Applications, Nov. 2022.
443.
G. Maus and D. Brückmann, "Beyond {Bluetooth Direction Finding}: Radar Applications" in Wireless Congress: Systems & Applications, Nov. 2022.
442.
G. Maus and D. Brückmann, "Bluetooth 5.1 Based Indoor Localization -- Performance Results and Insights" in Embedded World Conference 2022, Jun. 2022.

ISBN: 978-3-645-50194-1

441.
G. Maus and D. Brückmann, "Indoor-Lokalisierung mit Bluetooth 5.1 -- Grundlagen, Ergebnisse und ein Blick auf die Algorithmik" in Elektronik, WEKA Fachmedien, Haar, Apr. 2022, pp. 63--69.
440.
G. Maus, W. Gerth and D. Brückmann, "A parking spot occupancy sensor based on commodity wireless chipsets" in 2022 IEEE Sensors Applications Symposium (SAS), 2022, pp. 1--6.
439.
G. Maus, H. Pörner, R. Ahrens and D. Brückmann, "A Phase Normalization Scheme for Angle of Arrival based {Bluetooth} Indoor Localization" in 2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS), 2022, pp. 1--5.
438.
G. Maus, J. Schirmer, R. Ahrens, S. Janicke and D. Brückmann, "Car Traffic Monitoring Using Discrete Frequency Chirp {Bluetooth} Radar" in 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 2022, pp. 722--726.
437.
M. Schäfer, K. Zhao, M. Bühren and A. Kummert, "Context-Aware Scene Prediction Network (CASPNet)" in 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 3970-3977.
436.
M. Braun, M. Luszek, M. Meuter, D. Spata, K. Kollek and A. Kummert, "Deep Learning Method for Cell-Wise Object Tracking, Velocity Estimation and Projection of Sensor Data over Time" in 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 3200--3206.
435.
F. Ghorban, N. Hasan, J. Velten and A. Kummert, "Individual Weighting of Unlabeled Data Points via Confidence-Awareness in Semi-Supervised Learning" in 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 2022, pp. 1215-1219.
434.
K. Kollek, M. Braun, J. Meusener and A. Kummert, "Real-Time Traffic Counting on Resource Constrained Embedded Systems" in 2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS), 2022, pp. 1-4.
433.
F. Hasecke, M. Alsfasser and A. Kummert, "What Can be Seen is What You Get: Structure Aware Point Cloud Augmentation" in 2022 IEEE Intelligent Vehicles Symposium (IV), 2022, pp. 594-599.
432.
A. Bauer, J. Oberbossel, S. Sander and A. Kummert, "WUP-CD: Towards 2.5D Data for Deep Learning Building Change Detection" in IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 219-222.
2021
431.
M. Braun, A. Cennamo, M. Schoeler, K. Kollek and A. Kummert, "Semantic Segmentation of Radar Detections using Convolutions on Point Clouds", Journal of Physics: Conference Series, vol. 1924, no. 1, pp. 012003, Mai 2021. {IOP} Publishing.
430.
N. Kuxdorf-Alkirata, G. Maus and D. Brückmann, "A Device-free Indoor Localization System Based on Supervised Learning and {Bluetooth Low Energy}" in 2021 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), 2021, pp. 413--418.
429.
L. Kolonko, B. Musiol, J. Velten and A. Kummert, "A Split-Modular Approach to Wave Digital Filters containing Bipolar Junction Transistors" in 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 2021, pp. 840-843.
428.
L. Kolonko, J. Velten and A. Kummert, "Automatic Differentiating Wave Digital Filters with Multiple Nonlinearities" in 2020 28th European Signal Processing Conference (EUSIPCO), 2021, pp. 1-5.

ISBN: 978-9-0827-9705-3

427.
L. Kolonko, J. Velten, A. Kummert and B. Musiol, "FPGA Implementation of Wave Digital Filters with Multiple exp-based Nonlinearities" in 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 2021, pp. 507-510.
426.
F. Ghorban, N. Hasan, J. Velten and A. Kummert, "Improving FM-GAN through Mixup Manifold Regularization" in 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 2021, pp. 1-5.
425.
K. Kollek, M. A. Aguilar, M. Braun and A. Kummert, "Improving Neural Network Architecture Compression by Multi-Grain Pruning" in 2021 IEEE International Conference on Progress in Informatics and Computing (PIC), 2021, pp. 6--13.
424.
J. Schmitz, A. Bauer and A. Kummert, "Large-Scale Curb Extraction Based on 3D Deep Learning and Iterative Refinement Post-Processing" in 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), 2021, pp. 558--563.
423.
J. Cao, H. Dai, B. Lei, C. Yin, H. Zeng and A. Kummert, "Maximum Correntropy Criterion-Based Hierarchical One-Class Classification", IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 8, pp. 3748-3754, 2021.
422.
I. Freeman, K. Zhao and A. Kummert, "Polynomial Trajectory Predictions for Improved Learning Performance" in 2021 IEEE International Conference on Image Processing (ICIP), 2021, pp. 3313-3317.
421.
M. Braun, M. Luszek, J. Siegemund, K. Kollek and A. Kummert, "Quantification of Uncertainties in Deep Learning-based Environment Perception" in 2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS), 2021, pp. 1--8.