Enhanced coding for exponentially distributed signals using suprathreshold stochastic resonance |
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| Authors: | Aruneema Das Nigel G Stocks Evor L Hines |
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| Institution: | 1. Division of Materials Science, Korea Basic Science Institute, Daejeon 305-333, Republic of Korea;2. New Business Development Department, Shine Co. Ltd., Kimhae 621-823, Republic of Korea;3. College of Pharmacy, Chungbuk National University, Cheongju 361-763, Republic of Korea;4. Jeonju Center, Korea Basic Science Institute, Jeonju 561-756, Republic of Korea;1. Laboratoire des Matériaux Ferroélectriques (LMF), Unité de Physique Mathématiques, 05UR15-04, Université de Sfax, Faculté des Sciences de Sfax (FSS), Route de Soukra km 3.5, B.P. 1171, 3000 Sfax, Tunisia;2. Laboratoire des Colloïdes,Verre, et Nanomatériaux:UMR CNRS 5587, Unité mixte de recherche5587-CNRS-UM2-Université Montpellier 2, F-34095 Montpellier, France;3. Laboratoire de Chimie Inorganique, Uuniversité de Sfax, Faculté des Sciences de Sfax, BP 1171, 3000 Sfax, Tunisia;1. Shanghai Jiao Tong University, State Key Laboratory of Advanced Optical Communication System and Networks, Dongchuan Road 800 SEIEE bulidgs 5-501, Shanghai 200240, China;2. Hangzhou Dianzi University, College of Communication Engineering, Xiasha Gaojiaoyuan 2rd Street, Hangzhou 310018, China;3. State Grid Information & Communication Company of Hunan Electric Power Corp, No. 388 North Shaoshan Road Changsha, Hunan 410000, China;1. Japan International Research Center of Agricultural Science (JIRCAS), 1-1 Ohwashi, Tsukuba, Ibaraki 305-8686, Japan;2. Forestly and Forest Products Research Institute (FFPRI), 1 Matsunosato, Tsukuba, Ibaraki 305-8687, Japan;3. Universiti Sains Malaysia, 11800 USM, Penang, Malaysia;4. Forest Research Institute Malaysia (FRIM), 52109 Kepong, Selangor Darul Ehsan, Malaysia |
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| Abstract: | 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. |
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