Weakly-Constrained Codes for Suppression of Patterning Effects in Digital Communications

—We propose weakly-constrained stream and block codes with tunable pattern-dependent statistics and demonstrate that the block code capacity at large block sizes is close to the the prediction obtained from a simple Markov model published earlier. We demonstrate the feasibility of the code by presenting original encoding and decoding algorithms with a complexity log-linear in the block size and with modest table memory requirements. We also show that when such codes are used for mitigation of patterning effects in optical fibre communications, a gain of about 0.5dB is possible under realistic conditions, at the expense of small redundancy (≈10%).

• Type: Journal
• Year: 2010
• Where: TCOM
• Authors: Alexander V. Shafarenko, Anton Skidin, Sergei K. Turitsyn
• Keywords: Block Code, Simple Markov Model, TCOM 2010, Tunable Pattern-dependent Statistics