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Luca Schmid

2 accepted papers

2023

Structural Optimization of Factor Graphs for Symbol Detection via Continuous Clustering and Machine Learning

ICASSP 2023accepted

We propose a novel method to optimize the structure of factor graphs for graph-based inference. As an example inference task, we consider symbol detection on linear inter-symbol interference channels. The factor graph framework has the potential to yield low-complexity symbol detectors. However, the…

Cited by 0SourceScholar