• DocumentCode
    1935609
  • Title

    Vibration signals compression with Time-Frequency Adaptive Quantization

  • Author

    Oltean, Marius ; Picheral, José ; Lahalle, Elisabeth ; Hamdan, Hani

  • Author_Institution
    Dept. of Signals & Electron. Syst., Univ. Politeh. of Timisoara, Gif-sur-Yvette, France
  • fYear
    2011
  • fDate
    19-21 Sept. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A novel quantization method, well suited to the case of vibration signal compression is introduced in this paper. This method, applied in the domain of the Discrete Cosine Transform, is called Time-Frequency Adaptive Quantization (TFAQ) and it efficiently allocates the coding bits based on the time-frequency properties of the vibration signals. The method is compared to other transform-based compression techniques. Experiments are carried on a rich database of vibration signals, issued by the plane engines, in various stages of the flight. The results prove the superiority of TFAQ versus the other tested methods, for the experimental data set we dispose on.
  • Keywords
    discrete cosine transforms; encoding; mechanical engineering computing; signal processing; vibrations; TFAQ; coding bits; discrete cosine transform; mechanical vibrations; time-frequency adaptive quantization; transform-based compression techniques; vibration signals compression; Indexes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Signal Processing (WISP), 2011 IEEE 7th International Symposium on
  • Conference_Location
    Floriana
  • Print_ISBN
    978-1-4577-1403-0
  • Type

    conf

  • DOI
    10.1109/WISP.2011.6051693
  • Filename
    6051693