Information-theory analysis of skewed coding for suppression of pattern-dependent errors in digital communications

Alexander Shafarenko*, Konstantin S. Turitsyn, Sergei K. Turitsyn

*Corresponding author for this work

Research output: Contribution to journalArticle

Abstract

We present information-theory analysis of the tradeoff between bit-error rate improvement and the data-rate loss using skewed channel coding to suppress pattern-dependent errors in digital communications. Without loss of generality, we apply developed general theory to the particular example of a high-speed fiber communication system with a strong patterning effect.

Original languageEnglish
Pages (from-to)237-241
Number of pages5
JournalIEEE Transactions on Communications
Volume55
Issue number2
DOIs
Publication statusPublished - 20 Feb 2007

Keywords

  • digital communication
  • error correction
  • information theory
  • intersymbol interference (ISI)

Fingerprint Dive into the research topics of 'Information-theory analysis of skewed coding for suppression of pattern-dependent errors in digital communications'. Together they form a unique fingerprint.

Cite this