Literature DB >> 17386647

Improved stochastic resonance algorithm for enhancement of signal-to-noise ratio of high-performance liquid chromatographic signal.

Shaofei Xie1, Bingren Xiang, Haishan Deng, Suyun Xiang, Jun Lu.   

Abstract

Based on the theory of stochastic resonance, an improved stochastic resonance algorithm with a new criterion for optimizing system parameters to enhance signal-to-noise ratio (SNR) of HPLC/UV chromatographic signal for trace analysis was presented in this study. Compared with the conventional criterion in stochastic resonance, the proposed one can ensure satisfactory SNR as well as good peak shape of chromatographic peak in output signal. Application of the criterion to experimental weak signals of HPLC/UV was investigated and the results showed an excellent quantitative relationship between different concentrations and responses.

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Year:  2006        PMID: 17386647     DOI: 10.1016/j.aca.2006.12.018

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  1 in total

1.  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
  1 in total

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