A vectorized systolic array for block RLS using inverse factorizations

Author

Sakai, Hideaki

Author_Institution

Fac. of Eng., Kyoto Univ., Japan

Volume

4

fYear

1992

fDate

23-26 Mar 1992

Firstpage

233

Abstract

A new vectorized rhombic systolic array for computing tap coefficients in the block recursive least squares (RLS) method is proposed. The array is based on the inverse factorization method of Pan and Plemmons (1989) and on the triangular array for computing residual vectors in block RLS using the Householder transformation of Liu et al. (1990). The new array is obtained by generalizing the inverse factorizations for the block case and then examining the relation between the a priori error vector and the a posteriori error vector to get rid of the matrix operations

Keywords

filtering and prediction theory; inverse problems; least squares approximations; systolic arrays; Householder transformation; a posteriori error vector; a priori error vector; block RLS; filtering; inverse factorizations; tap coefficients; vectorized rhombic systolic array; Kalman filters; Least squares approximation; Least squares methods; Matrix decomposition; Resonance light scattering; Systolic arrays; Throughput; Vectors; Yttrium;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on

Conference_Location

San Francisco, CA

ISSN

1520-6149

Print_ISBN

0-7803-0532-9

Type

conf

DOI

10.1109/ICASSP.1992.226443

Filename

226443