• DocumentCode
    2231861
  • Title

    An algorithm for measurement data eliminating noise and smoothing

  • Author

    Du Jingqing ; Shiqiao, Gao ; Shaohua, Niu

  • Author_Institution
    State Key Lab. of Explosion, Beijing Inst. of Technol., Beijing, China
  • Volume
    4
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Abstract
    A simple data processing algorithm that is a data processing algorithm of shifting window, excluding outliers and computing average several times, is raised through the analysis of noise signal and abrupt signal of engineering testing signals. At the same time, the concepts of order and window width are also raised. The main Basic language algorithms source code of this algorithm is also provided; the simulation and verification tests on this algorithm have been done by using MATLAB and the result is quite ideal. Meanwhile, this algorithm has also yielded desirable results when processing the penetration overload signal in the tests of projectile penetrating concrete targets of semi-infinite thickness and projectile penetrating three-layer concrete targets of finite thickness. The theory and the practice result can prove that it is practicable and useful for short-time and fast real-time processing as well as able to meet the engineering needs to use this algorithm for data eliminating noise, excluding outliers and smoothing data..
  • Keywords
    signal denoising; smoothing methods; MATLAB; data eliminating noise measurement; data processing algorithm; engineering testing signals; language algorithms; noise signal analysis; penetration overload signal processing; smoothing algorithm; source code; verification tests; window shifting; window width; Acoustics; Jamming; Noise; MATLAB simulation; Smoothing Processing; data processing; penetration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2154-7491
  • Print_ISBN
    978-1-4244-6539-2
  • Type

    conf

  • DOI
    10.1109/ICACTE.2010.5579691
  • Filename
    5579691