activity
20192026
most citedAchievable Information Rates for Probabilistic Amplitude Shaping: An Alternative Approach via Random Sign-Coding Arguments

9 citations · 15 across the 8 of their papers we have counts for

collaborators

12 papers

cs.IT2026

On LLR Mismatch in Belief Propagation Decoding of Overcomplete QLDPC Codes

Hernan Cordova, Alexios Balatsoukas-Stimming, Gabriele Liga +2

Belief propagation (BP) decoding of quantum low density parity check (QLDPC) codes is often implemented using overcomplete stabilizer (OS) representations, where redundant parity c…

eess.SP2025

On Irradiance Distributions for Weakly Turbulent FSO Links: Log-Normal vs. Gamma-Gamma

Carmen Álvarez Roa, Yunus Can Gültekin, Vincent van Vliet +3

Weak turbulence is commonly modeled using the log-normal distribution. Our experimental results show that this distribution fails to capture irradiance fluctuations in this regime.…

cs.IT2025

Lowering Error Floors for Hard Decision Decoding of OFEC Code

Jasper Lagendijk, Yunus Can Gültekin, Alexios Balatsoukas-Stimming +2

Stall patterns are known to cause an error floor in hard decision decoding of the OFEC code. We propose a novel stall pattern removal algorithm that lowers the error floor of state…

eess.SP2025

On the Optimality of Single-label and Multi-label Neural Network Decoders

Yunus Can Gültekin, Péter Scheepers, Yuncheng Yuan +2

We investigate the design of two neural network (NN) architectures recently proposed as decoders for forward error correction: the so-called single-label NN (SLNN) and multi-label…

eess.SP2024★ 1 cited

On the Design and Performance of Machine Learning Based Error Correcting Decoders

Yuncheng Yuan, Péter Scheepers, Lydia Tasiou +3

This paper analyzes the design and competitiveness of four neural network (NN) architectures recently proposed as decoders for forward error correction (FEC) codes. We first consid…

eess.SP2022★ 5 cited

Mitigating Nonlinear Interference by Limiting Energy Variations in Sphere Shaping

Yunus Can Gültekin, Alex Alvarado, Olga Vassilieva +4

Band-trellis enumerative sphere shaping is proposed to decrease the energy variations in channel input sequences. Against sphere shaping, 0.74 dB SNR gain and up to 9% increase in…