• Noise reduction in chaotic time series data

    • Fulltext

       

        Click here to view fulltext PDF


      Permanent link:
      https://www.ias.ac.in/article/fulltext/pram/052/01/0025-0037

    • Keywords

       

      Chaotic time series data; noise reduction; Lyapounov exponent; correlation dimension

    • Abstract

       

      With a prescription for an ‘effective noise’ in the given noisy chaotic time series and searching out ‘similar’ strings of data, we give a simple method of ‘cleaning’ the data by an iterative process converging with decreasing length of the string. This has been found efficient even for small amount of data.

    • Author Affiliations

       

      A Bhowal1 T K Roy2

      1. Institute for Theoretical Physics, University of Cologne, Cologne - D-50923, Germany
      2. Saha Institute of Nuclear Physics, 1/AF, Bidhan Nagar, Calcutta - 700 064, India
    • Dates

       
  • Pramana – Journal of Physics | News

    • Editorial Note on Continuous Article Publication

      Posted on July 25, 2019

      Click here for Editorial Note on CAP Mode

© 2021-2022 Indian Academy of Sciences, Bengaluru.