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
相关论文
共 50 条
  • [1] Cochlear Implant Coding with Stochastic Beamforming and Suprathreshold Stochastic Resonance
    Stocks, Nigel G.
    Shulgin, Boris
    Holmes, Stephen D.
    Nikitin, Alexander
    Morse, Robert P.
    APPLICATIONS OF NONLINEAR DYNAMICS-MODEL AND DESIGN OF COMPLEX SYSTEMS, 2009, : 237 - +
  • [2] The use of suprathreshold stochastic resonance in cochlear implant coding
    Allingham, D
    Stocks, NG
    Morse, RP
    FLUCTUATIONS AND NOISE IN BIOLOGICAL, BIOPHYSICAL, AND BIOMEDICAL SYSTEMS, 2003, 5110 : 92 - 101
  • [3] The application of suprathreshold stochastic resonance to cochlear implant coding
    Stocks, N. G.
    Allingham, D.
    Morse, R. P.
    FLUCTUATION AND NOISE LETTERS, 2002, 2 (03): : L169 - L181
  • [4] Suprathreshold stochastic resonance
    Stocks, NG
    STOCHASTIC AND CHAOTIC DYNAMICS IN THE LAKES, 2000, 502 : 415 - 421
  • [5] Suprathreshold stochastic resonance: an exact result for uniformly distributed signal and noise
    Stocks, NG
    PHYSICS LETTERS A, 2001, 279 (5-6) : 308 - 312
  • [6] Analog to digital conversion using suprathreshold stochastic resonance
    McDonnell, MD
    Stocks, NG
    Pearce, CEM
    Abbott, D
    Smart Structures, Devices, and Systems II, Pt 1 and 2, 2005, 5649 : 75 - 84
  • [7] Suprathreshold stochastic resonance in a neuronal network model: A possible strategy for sensory coding
    Stocks, NG
    Mannella, R
    FUTURE DIRECTIONS FOR INTELLIGENT SYSTEMS AND INFORMATION SCIENCES, 2000, 45 : 236 - 247
  • [8] Image Noise Removal Using Principle of Suprathreshold Stochastic Resonance
    Pandey, Anil K.
    Sharma, ParamDev
    Sharma, S. K.
    Sarkar, Kaushik
    Sharma, Akshima
    Kumar, Rakesh
    Bal, C. S.
    COMPUTATIONAL ADVANCEMENT IN COMMUNICATION CIRCUITS AND SYSTEMS, ICCACCS 2014, 2015, 335 : 507 - 514
  • [9] Suprathreshold stochastic resonance in a single comparator
    Wang Ren-Guo
    Long Zhang-Cai
    CHINESE PHYSICS LETTERS, 2007, 24 (01) : 275 - 278
  • [10] Optimal quantization and suprathreshold stochastic resonance
    McDonnell, MD
    Stocks, NG
    Pearce, CEM
    Abbott, D
    FLUCTUATIONS AND NOISE IN BIOLOGICAL, BIOPHYSICAL, AND BIOMEDICAL SYSTEMS III, 2005, 5841 : 164 - 173