• DocumentCode
    3410614
  • Title

    Filtering random noise via data compression

  • Author

    Natarajan, B.K.

  • Author_Institution
    Hewlett-Packard Labs., Palo Alto, CA, USA
  • fYear
    1993
  • fDate
    1993
  • Firstpage
    60
  • Lastpage
    69
  • Abstract
    A general technique is suggested for reducing random noise from signals using data compression in conjunction with the principle of Occam´s Razor. Not only are classical spectral filters realisable as a particular instance of the technique, but more powerful nonlinear filters fall within its scope
  • Keywords
    data compression; filtering and prediction theory; random noise; Occam´s Razor; data compression; nonlinear filters; random noise; spectral filters; Additive noise; Data compression; Encoding; Filtering; Frequency measurement; Laboratories; Low pass filters; Noise cancellation; Noise measurement; Noise reduction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 1993. DCC '93.
  • Conference_Location
    Snowbird, UT
  • Print_ISBN
    0-8186-3392-1
  • Type

    conf

  • DOI
    10.1109/DCC.1993.253144
  • Filename
    253144
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3410614