Enhanced coding for exponentially distributed signals using suprathreshold stochastic resonance

被引:12
|
作者
Das, Aruneema [1 ]
Stocks, Nigel G. [1 ]
Hines, Evor L. [1 ]
机构
[1] Univ Warwick, Sch Engn, Coventry CV4 7AL, W Midlands, England
关键词
suprathreshold stochastic resonance; double exponential signal; cross-correlation coefficient; speech signal; Gaussian noise; INFORMATION-TRANSMISSION; THRESHOLD; NOISE; ARRAYS; MOTION;
D O I
10.1016/j.cnsns.2007.07.013
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
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.
引用
收藏
页码:223 / 232
页数:10
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