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20232026
most citedImproved Generalized Automorphism Belief Propagation Decoding

1 citations · 4 across the 32 of their papers we have counts for

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13 papers · 1 filter

eess.SP2024

Spiking Neural Belief Propagation Decoder for LDPC Codes with Small Variable Node Degrees

Alexander von Bank, Eike-Manuel Edelmann, Jonathan Mandelbaum +1

Spiking neural networks (SNNs) promise energy-efficient data processing by imitating the event-based behavior of biological neurons. In previous work, we introduced the enlarge-lik…

eess.SP2024

Spiking Neural Belief Propagation Decoder for Short Block Length LDPC Codes

Alexander von Bank, Eike-Manuel Edelmann, Sisi Miao +2

Spiking neural networks (SNNs) are neural networks that enable energy-efficient signal processing due to their event-based nature. This paper proposes a novel decoding algorithm fo…

cs.IT2024★ 1 cited

List-based Optimization of Proximal Decoding for LDPC Codes

Andreas Tsouchlos, Holger Jäkel, Laurent Schmalen

In this paper, the proximal decoding algorithm is considered within the context of additive white Gaussian noise (AWGN) channels. An analysis of the convergence behavior of the alg…

quant-ph2024

Parameter Optimization of Rate-Adaptive Continuous-Variable Quantum Key Distribution Systems

Erdem Eray Cil, Jonas Berl, Laurent Schmalen

We propose an optimization method for rate-adaptive CV-QKD systems, improving the SKR by up to 15%. A single information reconciliation setup can generate secret keys up to a dista…

cs.IT2024

Optimization of Iterative Blind Detection based on Expectation Maximization and Belief Propagation

Luca Schmid, Tomer Raviv, Nir Shlezinger +1

We study iterative blind symbol detection for block-fading linear inter-symbol interference channels. Based on the factor graph framework, we design a joint channel estimation and…

quant-ph2024★ 1 cited

An Open-Source Library for Information Reconciliation in Continuous-Variable QKD

Erdem Eray Cil, Laurent Schmalen

This paper presents an easy-to-use open-source software library for continuous-variable quantum key distribution (CV-QKD) systems. The library, written in C++, simplifies the cruci…

cs.IT2024★ 1 cited

Improved Generalized Automorphism Belief Propagation Decoding

Jonathan Mandelbaum, Sisi Miao, Nils Albert Schwendemann +2

With the increasing demands on future wireless systems, new design objectives become eminent. Low-density parity-check codes together with belief propagation (BP) decoding have out…

cs.IT2024

Optimized Soft-Aided Decoding of OFEC and Staircase Codes

Lukas Rapp, Sisi Miao, Laurent Schmalen

We propose a novel soft-aided hard-decision decoding algorithm for general product-like codes. It achieves error correcting performance similar to that of a soft-decision turbo dec…

cs.IT2024

Fast and Robust Expectation Propagation MIMO Detection via Preconditioned Conjugated Gradient

Luca Schmid, Dominik Sulz, Laurent Schmalen

We study the expectation propagation (EP) algorithm for symbol detection in massive multiple-input multiple-output (MIMO) systems. The EP detector shows excellent performance but s…

cs.IT2024

Introducing RSESS: An Open Source Enumerative Sphere Shaping Implementation Coded in Rust

Frederik Ritter, Andrej Rode, Laurent Schmalen

In this work, we present an open-source implementation of the enumerative sphere shaping (ESS) algorithm used for probabilistic constellation shaping (PCS). PCS aims at closing the…

cs.IT2024

Endomorphisms of Linear Block Codes

Jonathan Mandelbaum, Sisi Miao, Holger Jäkel +1

The automorphism groups of various linear codes are extensively studied yielding insights into the respective code structure. This knowledge is used in, e.g., theoretical analysis…

cs.IT2024

Log-Log Domain Sum-Product Algorithm for Information Reconciliation in Continuous-Variable Quantum Key Distribution

Erdem Eray Cil, Laurent Schmalen

In this paper, we present a novel log-log domain sum-product algorithm (SPA) for decoding low-density parity-check (LDPC) codes in continuous-variable quantum key distribution (CV-…

cs.IT2024★ 1 cited

Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor Graphs

Luca Schmid, Tomer Raviv, Nir Shlezinger +1

We investigate the application of the factor graph framework for blind joint channel estimation and symbol detection on time-variant linear inter-symbol interference channels. In p…