What makes a good role model
Abstract
Description
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.
This paper is dedicated to Jim Massey on the occasion of his 75th birthday. Submitted to the IEEE Transactions on Information Theory
This paper is dedicated to Jim Massey on the occasion of his 75th birthday. Submitted to the IEEE Transactions on Information Theory