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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 (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. doi:10.1016/j.cnsns.2007.07.013 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 | ||||
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Subjects: | Q Science > QA Mathematics T Technology > TJ Mechanical engineering and machinery Q Science > QC Physics |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||
Journal or Publication Title: | Communications in Nonlinear Science and Numerical Simulation | ||||
Publisher: | Elsevier Science BV | ||||
ISSN: | 1007-5704 | ||||
Official Date: | January 2009 | ||||
Dates: |
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Volume: | Vol.14 | ||||
Number: | No.1 | ||||
Number of Pages: | 10 | ||||
Page Range: | pp. 223-232 | ||||
DOI: | 10.1016/j.cnsns.2007.07.013 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access |
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