• DocumentCode
    3588060
  • Title

    Reduced rank adaptive filtering in impulsive noise environments

  • Author

    Soury, Hamza ; Abed-Meraim, Karim ; Alouini, Mohamed-Slim

  • Author_Institution
    CEMSE Div., King Abdullah Univ. of Sci. & Technol. (KAUST), Thuwal, Saudi Arabia
  • fYear
    2014
  • Firstpage
    2037
  • Lastpage
    2041
  • Abstract
    An impulsive noise environment is considered in this paper. A new aspect of signal truncation is deployed to reduce the harmful effect of the impulsive noise to the signal. A full rank direct solution is derived followed by an iterative solution. The reduced rank adaptive filter is presented in this environment by using two methods for rank reduction, while the minimized objective function is defined using the Lp norm. The results are presented and the efficiency of each method is discussed.
  • Keywords
    adaptive filters; iterative methods; minimisation; signal denoising; Lp norm; full rank direct solution; impulsive noise environments; impulsive noise harmful effect reduction; iterative solution; minimized objective function; rank reduction method; reduced rank adaptive filtering; signal truncation; Bit error rate; Estimation; Gaussian noise; Linear programming; Optimized production technology; Signal to noise ratio; α-stable; Adaptive filter; Impulsive noise; Krylov subspace; Lp norm; Reduced rank; Truncation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2014 48th Asilomar Conference on
  • Print_ISBN
    978-1-4799-8295-0
  • Type

    conf

  • DOI
    10.1109/ACSSC.2014.7094830
  • Filename
    7094830
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3588060