Enhanced coding for exponentially distributed signals using suprathreshold stochastic resonance

• Published in: Communications in nonlinear science & numerical simulation Vol. 14; no. 1; pp. 223 - 232
• Main Authors: Das, Aruneema, Stocks, Nigel G., Hines, Evor L.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 2009
• Subjects: Cross-correlation coefficient; Devices; Double exponential signal; Fluctuation; Gaussian noise; Noise; Nonlinearity; Raw materials; Signal distribution; Speech signal; Stochastic resonance; Suprathreshold stochastic resonance; Thresholds; Cross-correlation coefficient; Speech signal; Gaussian noise; Double exponential signal; Suprathreshold stochastic resonance; 02.50.Fz; 05.10.−a
• ISSN: 1007-5704; 1878-7274
• DOI: 10.1016/j.cnsns.2007.07.013

Our previous work on stochastic resonance (SR) in threshold based systems proved that the SR effect is dependent on 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.