What makes a good role model
Abstract
The role model strategy is introduced as a method for designing an estimator by approaching the output of a superior estimator that has better input observations. This strategy is shown to yield the optimal Bayesian estimator when a Markov condition is fulfilled. Two examples involving simple channels are given to illustrate its use. The strategy is combined with time averaging to construct a statistical model by numerically solving a convex program. The role model strategy was developed in the context of low complexity decoder design for iterative decoding. Potential applications outside the field of communications are discussed.
Cite
@article{arxiv.0809.1300,
title = {What makes a good role model},
author = {Jossy Sayir},
journal= {arXiv preprint arXiv:0809.1300},
year = {2008}
}
Comments
This paper is dedicated to Jim Massey on the occasion of his 75th birthday. Submitted to the IEEE Transactions on Information Theory