Literature DB >> 18970762

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

Zhang Wei1, Xiang Bing-Ren.   

Abstract

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.

Year:  2006        PMID: 18970762     DOI: 10.1016/j.talanta.2006.02.039

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  3 in total

1.  An adaptive single-well stochastic resonance algorithm applied to trace analysis of clenbuterol in human urine.

Authors:  Wei Wang; Suyun Xiang; Shaofei Xie; Bingren Xiang
Journal:  Molecules       Date:  2012-02-15       Impact factor: 4.411

2.  New Type of Spectral Nonlinear Resonance Enhances Identification of Weak Signals.

Authors:  Rongming Lin; Teng Yong Ng; Zheng Fan
Journal:  Sci Rep       Date:  2019-10-01       Impact factor: 4.379

3.  The application of multiobjective genetic algorithm to the parameter optimization of single-well potential stochastic resonance algorithm aimed at simultaneous determination of multiple weak chromatographic peaks.

Authors:  Haishan Deng; Shaofei Xie; Bingren Xiang; Ying Zhan; Wei Li; Xiaohua Li; Caiyun Jiang; Xiaohong Wu; Dan Liu
Journal:  ScientificWorldJournal       Date:  2014-01-12
  3 in total

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