Dynamics retrieval from stochastically weighted incomplete data by low-pass spectral analysis

HIGHLIGHTS

• who: Cecilia M. Casadei et al. from the Switzerland University of Wisconsin Milwaukee, Milwaukee, Wisconsin, USA have published the paper: Dynamics retrieval from stochastically weighted incomplete data by low-pass spectral analysis, in the Journal: (JOURNAL)
• what: The authors propose an alternative approach which the authors call low-pass spectral analysis (LPSA). The authors compare the performance of LPSA to that of a range of other sophisticated data analysis techniques. The authors show that LPSA allows to achieve excellent dynamics reconstruction at modest computational cost. The authors demonstrate the superiority of dynamics retrieval by LPSA . . .
  

   

  

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