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PreprintarXiv licencearXiv

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  -