• DocumentCode
    505163
  • Title

    Estimation of the power of the system noise for adaptive filter algorithms

  • Author

    Cho, Hyeonwoo ; Ban, Sung Jun ; Kim, Sang Woo

  • Author_Institution
    Div. of Electr. & Comput. Eng., Pohang Univ. of Sci. & Technol., Pohang, South Korea
  • fYear
    2009
  • fDate
    18-21 Aug. 2009
  • Firstpage
    2514
  • Lastpage
    2518
  • Abstract
    In this paper, we proposed an algorithm for estimating the power of the system noise for adaptive filters. The proposed algorithm is developed by using the relationship between mean square error (MSE) and excess MSE (EMSE). Recursive calculations for the MSE and the EMSE are introduced, and an estimated power of system noise is derived by using the values. Through computer simulations, we show that the estimated power of system noise is close to the true value and can track the variation of the true value.
  • Keywords
    adaptive filters; estimation theory; mean square error methods; adaptive filter; computer simulations; mean square error; noise estimation; power estimation; Adaptive filters; Electronic mail; Finite impulse response filter; Gaussian noise; Iterative algorithms; Mean square error methods; Power engineering and energy; Power engineering computing; Real time systems; Recursive estimation; adaptive filter; excess mean square error; mean square error; power estimation; system noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ICCAS-SICE, 2009
  • Conference_Location
    Fukuoka
  • Print_ISBN
    978-4-907764-34-0
  • Electronic_ISBN
    978-4-907764-33-3
  • Type

    conf

  • Filename
    5335336