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弱信号检测领域中随机共振的理论及应用研究 被引量:5

Research on the theory and application of stochastic resonance in weak signal detection
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摘要 随机共振(SR)是指在一定的非线性条件下,由弱周期信号和噪声(随机干扰)合作而导致的系统强周期输出的现象。介绍了随机共振的起源和绝热近似理论、本征值理论、非周期理论、自适应理论等随机共振理论;提出了实验研究中常用的测度方法及指标,并介绍了近年来国内外各个领域利用随机共振检测弱信号的应用研究实例。最后对随机共振的研究进展做了概括分析。 Stochastic Resonance (SR) is a phenomenon that the addition of a low and proper noise can enhance the detection and transmission of weak signals in certain nonlinear systems. Study found that SR can be used to detect weak signals in strong noise background. This paper introduces the mechanism and classical theory of stochastic resonance. Several characteristic quantities of SR that are important to quantify stochastic resonance are presented. This paper also introduces some study eases using SR to detect weak signal in various fields, such as chemical industry, biotechnology industry and so on, both inland and abroad. Finally, the study oro^ess of stochastic resonance is concluded.
出处 《信息技术》 2009年第1期35-38,共4页 Information Technology
关键词 随机共振 弱信号检测 非线性系统 stochastic resonance weak signal detection nonlinear system
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参考文献16

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