• DocumentCode
    1562206
  • Title

    An orthogonal method for solving systems of linear equations without square roots and with few divisions

  • Author

    Götze, J. ; Schwiegelshohn, U.

  • Author_Institution
    Inst. of Network Theory & Circuit Design, Tech. Univ. Munich, West Germany
  • fYear
    1989
  • Firstpage
    1298
  • Abstract
    An algorithm is presented that requires only multiplications, additions, and a single division for the orthogonal solution of a system of linear equations. For that purpose the QR-decomposition of an extended system matrix, called the orthogonal Faddeeva algorithm, is computed by a square-root- and division-free Givens rotation, called scaled standard Givens rotation (SSGR). A special kind of number description, which is tailored to the standard Givens rotation, allows the execution of the SSGR solely by application of multiplications and additions. Therefore, the SSGR is highly suited for VLSI implementation. The roundoff error of the SSGR is as stable as the roundoff error of any available square-root-free Givens rotation, and its deviation factor is better
  • Keywords
    matrix algebra; QR-decomposition; SSGR; VLSI implementation; additions; deviation factor; division-free Givens rotation; extended system matrix; linear equations; multiplications; number description; orthogonal Faddeeva algorithm; orthogonal method; orthogonal solution; roundoff error; scaled standard Givens rotation; single division; square-root-free Givens rotation; Circuit synthesis; Delay; Digital signal processing; Equations; Iterative algorithms; Iterative methods; Parallel processing; Roundoff errors; Signal processing algorithms; Systolic arrays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
  • Conference_Location
    Glasgow
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.1989.266674
  • Filename
    266674