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
Link To Document :
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