7 papers
Improving the Thresholds of Generalized LDPC Codes with Convolutional Code Constraints
Muhammad Umar Farooq, Michael Lentmaier, Alexandre Graell i Amat
CC-GLPDC codes are a class of generalized low-density parity-check (GLDPC) codes where the constraint nodes (CNs) represent convolutional codes. This allows for efficient decoding…
Finite-Length Scaling of SC-LDPC Codes With a Limited Number of Decoding Iterations
Roman Sokolovskii, Alexandre Graell i Amat, Fredrik Brännström
We propose four finite-length scaling laws to predict the frame error rate (FER) performance of spatially-coupled low-density parity-check codes under full belief propagation (BP)…
Autoencoder-Based Unequal Error Protection Codes
Vukan Ninkovic, Dejan Vukobratovic, Christian Häger +2
We present a novel autoencoder-based approach for designing codes that provide unequal error protection (UEP) capabilities. The proposed design is based on a generalization of an a…
Pruning and Quantizing Neural Belief Propagation Decoders
Andreas Buchberger, Christian Häger, Henry D. Pfister +2
We consider near maximum-likelihood (ML) decoding of short linear block codes. In particular, we propose a novel decoding approach based on neural belief propagation (NBP) decoding…
The Capacity of Single-Server Weakly-Private Information Retrieval
Hsuan-Yin Lin, Siddhartha Kumar, Eirik Rosnes +2
A private information retrieval (PIR) protocol guarantees that a user can privately retrieve files stored in a database without revealing any information about the identity of the…
Binary Message Passing Decoding of Product-like Codes
Alireza Sheikh, Alexandre Graell i Amat, Gianluigi Liva
We propose a novel binary message passing decoding algorithm for product-like codes based on bounded distance decoding (BDD) of the component codes. The algorithm, dubbed iterative…