Luca Schmid

18 papers A 1Misc 1Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Blind Channel Estimation and Joint Symbol Detection With Data-Driven Factor Graphs.
IEEE Trans. Commun.
Luca Schmid, Tomer Raviv, Nir Shlezinger, Laurent Schmalen
2025 J jnl
Symbol Detection in Inter-Symbol Interference Channels using Expectation Propagation with Channel Shortening.
CoRR
Jannis Clausius, Luca Schmid, Laurent Schmalen, Stephan ten Brink
2025 — conf
Uncertainty Propagation in the Fast Fourier Transform.
SPAWC
Luca Schmid, Charlotte Muth, Laurent Schmalen
2025 J jnl
Uncertainty Propagation in the Fast Fourier Transform.
CoRR
Luca Schmid, Charlotte Muth, Laurent Schmalen
2024 J jnl
Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor Graphs.
CoRR
Luca Schmid, Tomer Raviv, Nir Shlezinger, Laurent Schmalen
2024 — conf
Fast and Robust Expectation Propagation MIMO Detection via Preconditioned Conjugated Gradient.
IEEECONF
Luca Schmid, Dominik Sulz, Laurent Schmalen
2024 J jnl
Fast and Robust Expectation Propagation MIMO Detection via Preconditioned Conjugated Gradient.
CoRR
Luca Schmid, Dominik Sulz, Laurent Schmalen
2024 — conf
Optimization of Iterative Blind Detection Based on Expectation Maximization and Belief Propagation.
IEEECONF
Luca Schmid, Tomer Raviv, Nir Shlezinger, Laurent Schmalen
2024 J jnl
Optimization of Iterative Blind Detection based on Expectation Maximization and Belief Propagation.
CoRR
Luca Schmid, Tomer Raviv, Nir Shlezinger, Laurent Schmalen
2023 J jnl
Approximate Maximum a Posteriori Carrier Phase Estimator for Wiener Phase Noise Channels using Belief Propagation.
CoRR
Shrinivas Chimmalgi, Andrej Rode, Luca Schmid, Laurent Schmalen
2023 A conf
Local Message Passing on Frustrated Systems.
UAI
Luca Schmid, Joshua Brenk, Laurent Schmalen
2023 J jnl
Local Message Passing on Frustrated Systems.
CoRR
Luca Schmid, Joshua Brenk, Laurent Schmalen
2023 Misc conf
Structural Optimization of Factor Graphs for Symbol Detection via Continuous Clustering and Machine Learning.
ICASSP
Lukas Rapp, Luca Schmid, Andrej Rode, Laurent Schmalen
2022 J jnl
Low-Complexity Near-Optimum Symbol Detection Based on Neural Enhancement of Factor Graphs.
IEEE Trans. Commun.
Luca Schmid, Laurent Schmalen
2022 J jnl
Low-complexity Near-optimum Symbol Detection Based on Neural Enhancement of Factor Graphs.
CoRR
Luca Schmid, Laurent Schmalen
2022 — conf
Neural Enhancement of Factor Graph-based Symbol Detection.
SPAWC
Luca Schmid, Laurent Schmalen
2022 J jnl
Neural Enhancement of Factor Graph-based Symbol Detection.
CoRR
Luca Schmid, Laurent Schmalen
2022 J jnl
Structural Optimization of Factor Graphs for Symbol Detection via Continuous Clustering and Machine Learning.
CoRR
Lukas Rapp, Luca Schmid, Andrej Rode, Laurent Schmalen