TND Lab researches detection and estimation in telecom and radar systems using neural networks. We focus on high-dimensional representations of wireless channels and received signals, leveraging their deterministic and probabilistic characteristics to enhance estimation and detection tasks. Our work integrates mathematical tools like probability and optimization theory with AI/ML techniques, including latent distribution learning, neural network architecture, and loss function design.
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Telecom Neural Detection Lab
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Polytechnique Montréal
- Montréal, Québec, Canada
- tnd-lab.work
Highlights
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High-Dimensional-MIMO-OFDM-Channel-Estimation
High-Dimensional-MIMO-OFDM-Channel-Estimation Public -
Generative-and-Explainable-AI-for-High-Dimensional-Channel-Estimation
Generative-and-Explainable-AI-for-High-Dimensional-Channel-Estimation PublicICC 2025
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Neural-Network-based-Information-Theoretic-Transceivers
Neural-Network-based-Information-Theoretic-Transceivers Public -
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DRL-Active-Jamming-Interference-Networks
DRL-Active-Jamming-Interference-Networks PublicJupyter Notebook
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