中国物理B ›› 1994, Vol. 3 ›› Issue (9): 667-675.doi: 10.1088/1004-423X/3/9/003

• GENERAL • 上一篇    下一篇

INHOMOGENEOUS FLUCTUATION DISTRIBUTION IN THE OUTPUT OF STOCHASTIC RESONANCE SYSTEMS AND ITS APPLICATION

温孝东, 胡岗, 杨春元, 李蓉, 龚德纯, 王辅忠   

  1. Department of Physics, Beijing Normal University, Beijing 100875, China
  • 收稿日期:1993-07-28 出版日期:1994-09-20 发布日期:1994-09-20
  • 基金资助:
    Project supported by the National Basic Research Project "Nonlinear Science" and the National Natural Science Foundation of China.

INHOMOGENEOUS FLUCTUATION DISTRIBUTION IN THE OUTPUT OF STOCHASTIC RESONANCE SYSTEMS AND ITS APPLICATION

WEN XIAO-DONG (温孝东), HU GANG (胡岗), YANG CHUN-YUAN (杨春元), LI RONG (李蓉), GONG DE-CHUN (龚德纯), WANG FU-ZHONG (王辅忠)   

  1. Department of Physics, Beijing Normal University, Beijing 100875, China
  • Received:1993-07-28 Online:1994-09-20 Published:1994-09-20
  • Supported by:
    Project supported by the National Basic Research Project "Nonlinear Science" and the National Natural Science Foundation of China.

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摘要： Inputting a periodic signal mixed with white noise into a bistable system, we find that the fluctuation distribution in the time series of the output is strongly inhomogeneous. In certain phase part fluctuation is very low under the stochastic resonance condition, and consequently, the signal-to-noise ratio (SNR) there is much higher than that of the input. This mechanism can be used to design a nonlinear receiver to extract the signed from noise with SNR three times higher than the largest SNR obtained so far by the optimal linear filter.

Abstract: Inputting a periodic signal mixed with white noise into a bistable system, we find that the fluctuation distribution in the time series of the output is strongly inhomogeneous. In certain phase part fluctuation is very low under the stochastic resonance condition, and consequently, the signal-to-noise ratio (SNR) there is much higher than that of the input. This mechanism can be used to design a nonlinear receiver to extract the signed from noise with SNR three times higher than the largest SNR obtained so far by the optimal linear filter.

中图分类号:  (Noise)

  • 05.40.Ca
02.50.Ey (Stochastic processes)