Information-Theory Analysis of Skewed Coding for Suppression of Pattern-Dependent Errors in Digital Communications
Alexander V. Shafarenko, Konstantin S. Turitsyn, Sergei Konstantinovich Turitsyn · IEEE Transactions on Communications · 2007
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