Stochastic resonance signal processor: Principle, capacity analysis and method


*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

8 Citations (Scopus)


In this letter, a signal processor based on the bistable aperiodic stochastic resonance (ASR), that can be used to detect the base-band binary pulse amplitude modulation (PAM) signal transmitting over an additive white Gaussian noise (AWGN) channel, is studied. The principle of the ASR signal processor is analyzed and the information capacity of such a communication system is evaluated by the Bit Error Ratio (BER) and the bit rate, according to the well-known Shannon information theory. The roles played by the noise on this capacity are analyzed. It is observed that keeping the bit rate unchanged we can neither decrease BER nor increase the bit rate and keep BER unchanged by adjusting the density of the noise. Simulation results also agree well with this observation. In addition, a statistical method to improve the performance of the system is proposed with theory and experiment.

Original languageEnglish
Pages (from-to)631-639
Number of pages9
JournalInternational Journal of Bifurcation and Chaos
Issue number2
Publication statusPublished - Feb 2007
Externally publishedYes

Bibliographical note

Funding Information:
The authors gratefully acknowledge the many helpful comments and suggestions by the reviewers, which improve the presentation. The first author is grateful to Prof. B. H. Xu and Dr. F. B. Duan for numerous stimulating discussions. This work is supported by City University of Hongkong Strategic Grant 7001697.


  • Aperiodic stochastic resonance
  • Information capacity
  • Signal processing


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