Signal estimation and threshold optimization using an array of bithreshold elements
Statistical Mechanics
2009-11-10 v2
Abstract
We consider the problem of optimizing signal transmission through multi-channel noisy devices. We investigate an array of bithreshold noisy devices which are connected in parallel and convergent on a summing center. Utilizing the concept of noise-induced linearization we derive an analytical approximation of the normalized power norm and clarify the relation between the optimum threshold and the standard deviation of noises. We show that the optimum threshold value is 0.63 times the standard deviation of the noises. This relation is applicable to both subthreshold and suprathreshold inputs.
Cite
@article{arxiv.cond-mat/0309279,
title = {Signal estimation and threshold optimization using an array of bithreshold elements},
author = {Aki-Hiro Sato and Michihito Ueda and Toyonori Munakata},
journal= {arXiv preprint arXiv:cond-mat/0309279},
year = {2009}
}
Comments
14 pages, 6 figures