[1] Wang Youguo, Wu Lenan,. Noise-improved information transmissionin a nonlinear threshold array for Gaussian mixture noise [J]. Journal of Southeast University (English Edition), 2006, 22 (1): 31-34. [doi:10.3969/j.issn.1003-7985.2006.01.007]

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Noise-improved information transmissionin a nonlinear threshold array for Gaussian mixture noise()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

22

Issue:

2006 1

Page:

31-34

Research Field:

Information and Communication Engineering

Publishing date:

2006-03-20

Info

Title:

Noise-improved information transmissionin a nonlinear threshold array for Gaussian mixture noise

Author(s):

Wang Youguo¹;  2;  Wu Lenan¹

¹Department of Radio Engineering, Southeast University, Nanjing 210096, China
²School of Mathematics and Physics, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

Keywords:

stochastic resonance;  suprathreshold stochastic resonance;  mutual information;  Gaussian mixture noise

PACS:

TN911.7;TN911.2

DOI:

10.3969/j.issn.1003-7985.2006.01.007

Abstract:

To discuss further the dependence of stochastic resonance on signals, nonlinear systems and noise, especially on noise, the binary input signal buried in Gaussian mixture noise through a nonlinear threshold array is studied based on mutual information.It is obtained that Gaussian mixture noise can improve the information transmission through the array.Both stochastic resonance(SR)and suprathreshold stochastic resonance(SSR)can be observed in the single threshold system and in the threshold array.The parameters in noise distribution affect the occurrence of SR and SSR.The efficacy of information transmission can be significantly enhanced as the number of threshold devices in the array increases. These results show further the dependence of SR and SSR on the noise distribution, and also extend the applicability of SR and SSR in information transmission.

References:

[1] McNamara B, Wiesenfeld K.Theory of stochastic resonance [J].Physical Review A, 1989, 39(9):4854-4869.
[2] Chapeau-Blondeau F, Rojas-Varela J.Information-theoretic measures improved by noise in non-linear systems[C]//14th International Conference on Mathematical Theory of Networks and Systems.Perpignan, France, 2000: 79-82.
[3] Das A, Stocks N G, Nikitin A, et al.Quantifying stochastic resonance in a single threshold detector for random a-periodic signals[J].Fluctuation and Noise Letters, 2004, 4(2):L247-L265.
[4] Kosko B, Mitaim S.Stochastic resonance in noisy threshold neurons[J].Neural Networks, 2003, 16(5, 6):755-761.
[5] Kay S.Can detectability be improved by adding noise? [J].IEEE Signal Processing Letters, 2000, 7(1):8-10.
[6] Zozor S, Amblard P-O.Stochastic resonance in locally optimal detectors [J].IEEE Transactions on Signal Processing, 2003, 51(12):3177-3181.
[7] Chapeau-Blondeau F.Stochastic resonance for an optimal detector with phase noise[J].Signal Processing, 2003, 83(3):665-670.
[8] Zozor S, Amblard P-O.On the use of stochastic in sine detection [J].Signal Processing, 2002, 82(3):353-367.
[9] Rousseau D, Duan F, Chapeau-Blondeau F.Suprathreshold stochastic resonance and noise-enhanced Fisher information in arrays of threshold devices[J].Physical Review E, 2003, 68(3):31107.
[10] Stocks N G.Suprathreshold stochastic resonance:an exact result for uniformly distributed signal and noise [J].Physics Letters A, 2001, 279(5, 6):308-312.
[11] Stocks N G.Suprathreshold stochastic resonance in multilevel threshold systems[J].Physical Review Letters, 2000, 84(11):2310-2313.
[12] Stocks N G.Information transmission in parallel threshold arrays:suprathreshold stochastic resonance [J].Physical Review E, 2001, 63(4):041114.
[13] Stocks N G.Optimizing information transmission in model neuronal ensembles:the role of internal noise [C]//Freund J A, Pöschel Th.Stochastic Processes in Physics, Chemistry, and Biology, Lecture Notes in Physics.Berlin:Springer-Verlag, 2000:150-159.

Memo

Memo:

Biographies: Wang Youguo(1968—), male, graduate;Wu Lenan(corresponding author), male, doctor, professor, wuln@seu.edu.cn.

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