• DocumentCode
    3741944
  • Title

    Adaptive filter based on NARX model for atmospheric noise removal on exo-planet observations

  • Author

    Alejandro Diaz;Ali Dehghan Firoozabadi;Ismael Soto;Patricio Rojo

  • Author_Institution
    Electrical Eng. Department, University of Santiago of Chile, Santiago, Chile
  • fYear
    2015
  • Firstpage
    13
  • Lastpage
    17
  • Abstract
    In Digital Signal Processing, adaptive filtering is capable of dealing with random signal noise or time-varying signal. This paper presents an approach to create a NARX-based adaptive noise filter to remove atmospheric noise from astronomical signals. We use data obtained from the transit spectroscopy exo-planet observation, data was prepare using k-means clustering method of vector quantization, using the signal light coming from the star 1214 GJ Exo-planet GJ 1214b and a reference signal light curve based on Mandel and Angol model.
  • Keywords
    "Extrasolar planets","Atmospheric modeling","Adaptation models","Atmospheric measurements","Training","Data models"
  • Publisher
    ieee
  • Conference_Titel
    Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON), 2015 CHILEAN Conference on
  • Type

    conf

  • DOI
    10.1109/Chilecon.2015.7400345
  • Filename
    7400345
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3741944