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Enhanced coding for exponentially distributed signals using suprathreshold stochastic resonance

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Das, Aruneema, Stocks, Nigel G. and Hines, Evor, 1957-. (2009) Enhanced coding for exponentially distributed signals using suprathreshold stochastic resonance. Communications in Nonlinear Science and Numerical Simulation, Vol.14 (No.1). pp. 223-232. ISSN 1007-5704

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Official URL: http://dx.doi.org/10.1016/j.cnsns.2007.07.013

Abstract

Our previous work on stochastic resonance (SR) in threshold based systems proved that the SR effect is dependent oil the nature of the input signal distribution; more specifically, for certain types of signal distribution SR is not observed [Das A, Stocks NG, Nikitin A, Hines EL. Quantifying stochastic resonance in a single threshold detector for random aperiodic signals. Fluctuation Noise Lett 2004;4:L247-65]. Here we show that suprathreshold stochastic resonance (SSR) - a novel and distinct form of SR - removes this limitation and hence leads to the conclusion that SSR can probably enhance the transmission of signals of any distribution and amplitude. SSR effects are studied in a parallel array of identical nonlinear threshold based devices. A double exponential signal distribution is chosen because this distribution did not demonstrate conventional SR effects in a single threshold device [Das A, Stocks NG, Nikitin A., Hines EL. Quantifying Stochastic resonance in a single threshold detector for random aperiodic signals. Fluctuation and Noise Letters 2004;4:L247-L265.]. SSR as a possible mechanism for enhancing transmission of speech signals in the human ear is also discussed. (C) 2007 Elsevier B.V. All rights reserved.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
T Technology > TJ Mechanical engineering and machinery
Q Science > QC Physics
Divisions: Faculty of Science > Engineering
Journal or Publication Title: Communications in Nonlinear Science and Numerical Simulation
Publisher: Elsevier Science BV
ISSN: 1007-5704
Date: January 2009
Volume: Vol.14
Number: No.1
Number of Pages: 10
Page Range: pp. 223-232
Identification Number: 10.1016/j.cnsns.2007.07.013
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
URI: http://wrap.warwick.ac.uk/id/eprint/29264

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