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A new single-well potential stochastic resonance algorithm to detect the weak signal

机译:检测微弱信号的单井势随机共振新算法

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Based on the stochastic resonance theory, a new single-well potential stochastic resonance algorithm (SSR) to improve the signal-to-noise ratio (SNR) is presented. In the new algorithm, stochastic resonance takes place in a single-well potential driven only by the noise. The effect on the proposed algorithm is discussed. By using simulated and experimental data sets, it is proven that the signal-to-noise ratio (SNR) of the weak signal can be greatly enhanced by this method. The new single-well potential stochastic resonance algorithm (SSR) may be a promising tool to extend instrumental linear range and to improve the accuracy of trace analysis. The research enlarges the application scope of single-well potential to nonlinear signal processing. (c) 2006 Elsevier B.V. All rights reserved.
机译:基于随机共振理论,提出了一种提高信噪比(SNR)的单井势随机共振算法(SSR)。在新算法中,随机共振发生在仅由噪声驱动的单阱电势中。讨论了对提出的算法的影响。通过使用模拟和实验数据集,已证明该方法可以大大提高微弱信号的信噪比(SNR)。新的单井电位随机共振算法(SSR)可能是扩展仪器线性范围并提高痕量分析准确性的有前途的工具。该研究扩大了单阱势在非线性信号处理中的应用范围。 (c)2006 Elsevier B.V.保留所有权利。

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