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Signal estimation and threshold optimization using an array of bithreshold elements
Aki-Hiro Sato1, Michihito Ueda, Toyonori Munakata
1Department of Applied Mathematics and Physics, Graduate School of Informatics, Kyoto University, Kyoto 606-8501, Japan.
Abstract:
We consider the problem of optimizing signal transmission through multichannel noisy devices. We investigate an array of bithreshold noisy devices which is 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.
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