• DocumentCode
    2658424
  • Title

    DSP implementation of Cholesky decomposition

  • Author

    Salmela, Perttu ; Happonen, Aki ; Jarvinen, Tuomas ; Burian, Adrian ; Takala, Jarmo

  • Author_Institution
    Tampere Univ. of Technol.
  • fYear
    2006
  • fDate
    24-27 June 2006
  • Firstpage
    6
  • Lastpage
    9
  • Abstract
    Both the matrix inversion and solving a set of linear equations can be computed with the aid of the Cholesky decomposition. In this paper, the Cholesky decomposition is mapped to the typical resources of digital signal processors (DSP) and our implementation applies a novel way of computing the fixed-point inverse square root function. The presented principles result in savings in the number of clock cycles. As a result, the Cholesky decomposition can be incorporated in applications such as 3G channel estimator where short execution time is crucial
  • Keywords
    digital signal processing chips; matrix decomposition; matrix inversion; 3G channel estimator; Cholesky decomposition; DSP implementation; digital signal processors; execution time; fixed-point inverse square root function; linear equations; matrix inversion; 3G mobile communication; Algorithm design and analysis; Clocks; Digital signal processing; Digital signal processors; Equations; Matrices; Matrix decomposition; Signal processing algorithms; Telecommunication computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile Future, 2006 and the Symposium on Trends in Communications. SympoTIC '06. Joint IST Workshop on
  • Conference_Location
    Bratislava
  • Print_ISBN
    1-4244-0368-5
  • Type

    conf

  • DOI
    10.1109/TIC.2006.1708008
  • Filename
    1708008