Enhanced coding for exponentially distributed signals using suprathreshold stochastic resonance

Autor: Aruneema Das, Evor L. Hines, Nigel G. Stocks
Rok vydání: 2009
Předmět:
Zdroj: Communications in Nonlinear Science and Numerical Simulation. 14:223-232
ISSN: 1007-5704
DOI: 10.1016/j.cnsns.2007.07.013
Popis: 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.
Databáze: OpenAIRE