Adaptive recursive algorithm for optimal weighted suprathreshold stochastic resonance

Suprathreshold stochastic resonance (SSR) is a distinct form of stochastic resonance, which occurs in multilevel parallel threshold arrays with no requirements on signal strength. In the generic SSR model, an optimal weighted decoding scheme shows its superiority in minimizing the mean square error...

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Bibliographic Details

Published in:	Royal Society open science Vol. 4; no. 9; p. 160889
Main Authors:	Xu, Liyan, Duan, Fabing, Gao, Xiao, Abbott, Derek, McDonnell, Mark D.
Format:	Journal Article
Language:	English
Published:	England The Royal Society Publishing 01.09.2017 The Royal Society
Subjects:	Adaptive Signal Processing Engineering Kalman–least Mean Square Recursive Algorithm Suprathreshold Stochastic Resonance recursive algorithm suprathreshold stochastic resonance adaptive signal processing Kalman–least mean square
ISSN:	2054-5703, 2054-5703
Online Access:	Get full text
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