• DocumentCode
    727264
  • Title

    Fractional order noise identification with application to temperature sensor data

  • Author

    Ziubinski, Pawel ; Sierociuk, Dominik

  • Author_Institution
    Inst. of Control & Ind. Electron., Warsaw Univ. of Technol., Warsaw, Poland
  • fYear
    2015
  • fDate
    24-27 May 2015
  • Firstpage
    2333
  • Lastpage
    2336
  • Abstract
    The paper presents experimental results of fractional order noise identification process for the data obtained from a temperature sensor. The fractional order colored noise is a generalization of the traditional colored noise (noise with dynamic dependency) in the case when the dynamics of noise is a fractional order dynamics. Algorithm for determining the fractional order is based on information about noise self correlation.
  • Keywords
    temperature measurement; temperature sensors; fractional order colored noise identification process; noise self correlation; temperature sensor; Colored noise; Correlation; Fractional calculus; Temperature measurement; Temperature sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2015 IEEE International Symposium on
  • Conference_Location
    Lisbon
  • Type

    conf

  • DOI
    10.1109/ISCAS.2015.7169151
  • Filename
    7169151
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=727264