A robust baseline elimination method based on community information

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@Article{Wu:2015:DSP,
  author =       "Yanling Wu and Qingwei Gao and Yuanyuan Zhang2",
  title =        "A robust baseline elimination method based on
                 community information",
  journal =      "Digital Signal Processing",
  year =         "2015",
  ISSN =         "1051-2004",
  DOI =          "doi:10.1016/j.dsp.2015.02.015",
  URL =          "http://www.sciencedirect.com/science/article/pii/S105120041500072X",
  abstract =     "Baseline correction is an important pre-processing
                 technique used to separate true spectra from
                 interference effects or remove baseline effects. In
                 this paper, an adaptive iteratively reweighted genetic
                 programming based on excellent community information
                 (GPEXI) is proposed to model baselines from spectra.
                 Excellent community information which is abstracted
                 from the present excellent community includes an
                 automatic common threshold, normal global and local
                 slope information. Significant peaks can be firstly
                 detected by an automatic common threshold. Then based
                 on the characteristic that a baseline varies slowly
                 with respect to wavelength, normal global and local
                 slope information are used to further confirm whether a
                 point is in peak regions. Moreover the slope
                 information is also used to determine the range of
                 baseline curve fluctuation in peak regions. The
                 proposed algorithm is more robust for different kinds
                 of baselines and its curvature and slope can be
                 automatically adjusted without prior knowledge.
                 Experimental results in both simulated data and real
                 data demonstrate the effectiveness of the algorithm.",
  keywords =     "genetic algorithms, genetic programming, Baseline
                 correction, Robust estimation, Community information",
}

Genetic Programming entries for Yanling Wu Qingwei Gao Yuanyuan Zhang2

Citations