Title
Maximum Likelihood Criteria for Binary Asymmetric Channels.
Abstract
This work concerns with the $n$-fold binary asymmetric channels ($mbox{BAC}^n$). An equivalence relation between two channels can be characterized by both having the same decision criterion when maximum likelihood is considered. We introduce here a function $mathcal{S}$ (the BAC-function) such that the parameters $(p,q)$ of the binary channel which determine equivalent channels belong to certain region delimited by its level curves. Explicit equations determining these regions are given and the number of different $mbox{BAC}^{n}$ classes is determined. A discusion on the size of these regions is also presented.
Year
Venue
Field
2016
arXiv: Information Theory
Discrete mathematics,Combinatorics,Equivalence relation,Maximum likelihood,Communication channel,Mathematics,Binary number
DocType
Volume
Citations 
Journal
abs/1611.10268
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Claudio Qureshi1104.48
Sueli I. Rodrigues Costa2166.61
Christiane B. Rodrigues300.34
Marcelo Firer48518.24