A unified framework for peak detection and alignment: application to HR-MAS 2D NMR spectroscopy

@article{Belghith2013AUF,
  title={A unified framework for peak detection and alignment: application to HR-MAS 2D NMR spectroscopy},
  author={Akram Belghith and Christophe Collet and Lucien Rumbach and Jean-Paul Armspach},
  journal={Signal, Image and Video Processing},
  year={2013},
  volume={7},
  pages={833-842}
}
In this paper, we propose a new scheme to detect and align simultaneously peaks that correspond to different metabolites within a biopsy. The proposed peak detection and alignment scheme is based on the use of evidence theory, which is well suited to model uncertainty and imprecision characterizing the 2D NMR HR-MAS spectra. Consequently, we propose the coupling use of Bayesian and fuzzy set theories to model and quantify the imprecision degree, which is then exploited to define the mass… 
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