• DocumentCode
    1828883
  • Title

    On a data smoothing technique using wavelet truncation

  • Author

    Fan, Xingjie ; Younan, N.H.

  • Author_Institution
    Tomographic Imaging Lab., Cincinnati Univ., OH, USA
  • fYear
    1994
  • fDate
    20-22 Mar 1994
  • Firstpage
    38
  • Lastpage
    42
  • Abstract
    A data smoothing technique to reduce the noise content in a signal is presented. This technique uses wavelet theory where a complete set of orthonormal wavelets can represent any signal with minimum redundancy. Simulated noisy data as well as measured data with unknown noise characteristics are considered to validate the applicability of the presented technique
  • Keywords
    interference suppression; noise; signal processing; wavelet transforms; data smoothing technique; measured data; minimum redundancy; noise characteristics; noise content reduction; orthonormal wavelets; signal analysis; simulated noisy data; wavelet theory; wavelet truncation; Fourier transforms; Frequency; Noise measurement; Noise reduction; Pollution measurement; Signal resolution; Signal to noise ratio; Smoothing methods; Wavelet transforms; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 1994., Proceedings of the 26th Southeastern Symposium on
  • Conference_Location
    Athens, OH
  • ISSN
    0094-2898
  • Print_ISBN
    0-8186-5320-5
  • Type

    conf

  • DOI
    10.1109/SSST.1994.287914
  • Filename
    287914
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1828883