• DocumentCode
    2291309
  • Title

    Research of Acquiring Eigenvector of Real Symmetric Matrix

  • Author

    Feng, Luo ; Kun, He ; Shunjun, Wu

  • Author_Institution
    Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´´an
  • fYear
    2006
  • fDate
    16-19 Oct. 2006
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    A systolic array processing method that works out the eigenvectors based on the Jacobi algorithm for eigenvalue/eigenvector decomposition (EVD) is presented in this paper. According to systolic array processing architecture, it is of highly parallel and can get eigenvectors when eigenvalues are worked out. It is easy to perform, for it works with coordinate rotation to avoid complicated algorithm such as multiple, divide and evolution etc. At last some simulations show the precision and delay can be satisfied when the method is applied to real time domain
  • Keywords
    Jacobian matrices; array signal processing; eigenvalues and eigenfunctions; matrix decomposition; systolic arrays; EVD; Jacobi algorithm; eigenvalue-eigenvector decomposition; real symmetric matrix; systolic array processing method; Clutter; Delay effects; Documentation; Eigenvalues and eigenfunctions; Jacobian matrices; Matrix decomposition; Radar signal processing; Signal processing algorithms; Symmetric matrices; Systolic arrays; CORDIC; Eigenvalue; Eigenvector; Jacobi; Systolic Array;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar, 2006. CIE '06. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-9582-4
  • Electronic_ISBN
    0-7803-9583-2
  • Type

    conf

  • DOI
    10.1109/ICR.2006.343201
  • Filename
    4148307