This page contains relevant materials and links related to the tutorial “Estimation, Filtering and Decoding via Deep Learning” given at EUSIPCO 2023, Helsinki, Finland. When referring to the tutorial, material from the slide deck, or the cheat sheet, please use the following reference:
@inproceedings{eusipco2023tutorial,
title = {Estimation, Filtering and Decoding via Deep Learning},
author = {Amir Weiss and Alejandro Lancho and Gary C.F. Lee},
booktitle = {31th European Signal Processing Conference (EUSIPCO) tutorial},
month = {Sep.},
year = {2023},
address = {Helsinki, Finland}
}
To download the slide deck of the tutorial, click here.
To download the “cheat sheet” that was handed out in the tutorial, click here.
To access the “mini RF Challenge” on Kaggle, click here.
To access directly the code from the hands-on session, click here.
To visit the “RF Challenge” website, click here.
Related Papers
[1] Weiss, A., Arikan, T. and Wornell, G. W., “Direct Localization in Underwater Acoustics via Convolutional Neural Networks: A Data-Driven Approach”, in Proc. of IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP), pp. 1–6, Aug. 2022. arXiv
[2] Weiss, A., Singer, A. C. and Wornell, G. W., “Towards Robust Data-Driven Underwater Acoustic Localization: A Deep CNN Solution with Performance Guarantees for Model Mismatch”, in Proc. of IEEE Int. Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1–5, May 2023. arXiv
[3] Weiss, A., Arikan, T., Vishnu, H., Deane, G. B., Singer, A. C. and Wornell, G. W., “A Semi-Blind Method for Localization of Underwater Acoustic Sources”, IEEE Trans. on Signal Processing, vol. 70, pp. 3090–3106, May 2022. arXiv
[4] Lee, G.C.F., Weiss, A., Lancho, A., Polyanskiy, Y. and Wornell, G. W., “On Neural Architectures for Deep Learning-based Source Separation of Co-Channel OFDM Signals”, in Proc. of IEEE Int. Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1–5, May 2023. Github repository. arXiv
[5] Lancho, A., Weiss, A., Lee, G.C.F., Tang, J., Bu, Y., Polyanskiy, Y. and Wornell, G. W., “Data-Driven Blind Synchronization and Interference Rejection for Digital Communication Signals”, in Proc. of IEEE Global Communications Conference (GLOBECOM), pp. 2296–2302, Dec. 2022. arXiv
[6] Lee, G.C.F., Weiss, A., Lancho, A., Tang, J., Bu, Y., Polyanskiy, Y. and Wornell, G. W., “Exploiting Temporal Structures of Cyclostationary Signals for Data-Driven Single-Channel Source Separation”, in Proc. of IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP), pp. 1–6, Aug. 2022. Github repository. arXiv. Best Student Paper Award