@inproceedings{d774e3e4230e41dc98ad1e03aa5cfbc9,
title = "On survivor error patterns for maximum likelihood soft decoding",
abstract = "Ordinarily a large number of error patterns is encountered in maximum likelihood soft decision syndrome decoding of a binary linear block code. However, many of them can be eliminated (without scoring) on the basis of the sorted confidence values of the hard-detected bits. We present some properties that an error pattern should possess in order to survive such elimination procedure. By applying these necessary conditions for survivability the family of error patterns is substantially reducible, and soft decision decoding is facilitated.",
author = "Jakov Snyders",
note = "Publisher Copyright: {\textcopyright} 1991 Institute of Electrical and Electronics Engineers Inc. All rights reserved.; null ; Conference date: 24-06-1991 Through 28-06-1991",
year = "1991",
doi = "10.1109/ISIT.1991.695248",
language = "אנגלית",
series = "IEEE International Symposium on Information Theory - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "192",
booktitle = "Proceedings - 1991 IEEE International Symposium on Information Theory, ISIT 1991",
address = "ארצות הברית",
}