Title
The maximum-likelihood decoding threshold for graphic codes.
Abstract
For a class $\mathcal{C}$ of binary linear codes, we write $\theta_{\mathcal{C}}\colon (0,1) \to [0,\frac{1}{2}]$ for the maximum-likelihood decoding threshold function of $\mathcal{C}$, the function whose value at $R \in (0,1)$ is the largest bit-error rate $p$ that codes in $\mathcal{C}$ can tolerate with a negligible probability of maximum-likelihood decoding error across a binary symmetric channel. We show that, if $\mathcal{C}$ is the class of cycle codes of graphs, then $\theta_{\mathcal{C}}(R) \le \frac{(1-\sqrt{R})^2}{2(1+R)}$ for each $R$, and show that equality holds only when $R$ is asymptotically achieved by cycle codes of regular graphs.
Year
Venue
Field
2015
CoRR
Graph,Discrete mathematics,Binary symmetric channel,Combinatorics,Maximum likelihood,Binary linear codes,Decoding methods,Mathematics,Threshold function
DocType
Volume
Citations 
Journal
abs/1504.05225
0
PageRank 
References 
Authors
0.34
5
2
Name
Order
Citations
PageRank
Peter Nelson111.71
Stefan H. M. van Zwam2608.60