3 papers
cs.IT2022
Benchmarking and Interpreting End-to-end Learning of MIMO and Multi-User Communication
Jinxiang Song, Christian Häger, Jochen Schröder +3
End-to-end autoencoder (AE) learning has the potential of exceeding the performance of human-engineered transceivers and encoding schemes, without a priori knowledge of communicati…
cs.IT2018
On Low-Complexity Decoding of Product Codes for High-Throughput Fiber-Optic Systems
Alireza Sheikh, Alexandre Graell i Amat, Gianluigi Liva +2
We study low-complexity iterative decoding algorithms for product codes. We revisit two algorithms recently proposed by the authors based on bounded distance decoding (BDD) of the…
cs.IT2017
Miscorrection-free Decoding of Staircase Codes
Christian Häger, Henry D. Pfister
We propose a novel decoding algorithm for staircase codes which reduces the effect of undetected component code miscorrections. The algorithm significantly improves performance, wh…