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| Information Detection Based on Bistable SR-Like Technique |
| Leng Yong-gang①; Wang Tai-yong①; Guo Yan②; Fan Sheng-bo①; Wang Yong-qiang② |
| ①School of Mechanical Engineering Tianjin University Tianjin 300072 China;②School of Information and Electronic Engineering Shandong Institute of Business and Technology Yantai 264005 China |
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Abstract For small parameter Stochastic Resonance (SR), the relationship among the response amplitude and signal frequency and noise intensity is investigated. The viewpoint of creating SR phenomenon only in the low frequency region where noise energy has been concentrated is also obtained in terms of the Lorentzian distribution of noise power spectrum. The condition of realizing twice sampling large parameter SR-like phenomenon is deduced, i.e., sampling frequency is fifty times signal frequency at least, and twice sampling frequency should be selected according to noise strength. Under large parameters, the analysis of input and output signal-to-ratios of the bistable system indicates the possibility of detecting weak signal submerged in heavy noise with the large parameter SR-like technique. And it is further proved that the technique is effective and practical by means of the examples of the extraction of periodic and aperiodic signals.
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Received: 21 November 2003
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2005, Vol. 27 
