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Chase-like Decoding: Test-Pattern Design and Performance Analysis
Abstract
Chase-like decoding algorithms are a popular choice for soft-input decoding of algebraic codes. We evaluate different test-pattern sets for Chase-like decoding. Structured sets, such as Chase-II patterns or patterns chosen by logistic weight, are analyzed using order statistics, while arbitrary sets are evaluated by calculating covered-space probabilities and by performing Monte Carlo simulation. We further propose an algorithm that designs test-pattern sets to cover likely error patterns, achieving comparable performance with half the number of test patterns compared with conventional sets for high-rate BCH codes.
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BibTeX
@misc{janz2026chaselike,
title = {{Chase-like Decoding: Test-Pattern Design and Performance Analysis}},
author = {Tim Janz and Simon Obermüller and Andreas Zunker and Stephan ten Brink},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2605.08081},
eprint = {2605.08081},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2605.08081},
}
RIS
TY - UNPB
TI - Chase-like Decoding: Test-Pattern Design and Performance Analysis
AU - Tim Janz
AU - Simon Obermüller
AU - Andreas Zunker
AU - Stephan ten Brink
PY - 2026
DA - 2026/09/02
PB - arXiv
DO - 10.48550/arxiv.2605.08081
UR - https://arxiv.org/abs/2605.08081
AB - Chase-like decoding algorithms are a popular choice for soft-input decoding of algebraic codes. We evaluate different test-pattern sets for Chase-like decoding. Structured sets, such as Chase-II patterns or patterns chosen by logistic weight, are analyzed using order statistics, while arbitrary sets are evaluated by calculating covered-space probabilities and by performing Monte Carlo simulation. We further propose an algorithm that designs test-pattern sets to cover likely error patterns, achieving comparable performance with half the number of test patterns compared with conventional sets for high-rate BCH codes.
ER -