Recursive LS filtering using block Householder transformations

Author

Liu, K.J.R. ; Hsieh, S.F. ; Yao, K.

Author_Institution

Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA

fYear

1990

fDate

3-6 Apr 1990

Firstpage

1631

Abstract

A systolic block Householder transformation is proposed to implement the HT (Householder transformation) on a systolic array as well as to apply it to the RLS algorithm. Since the data are fetched in a block manner, vector operations are in general required for the vectorized array. The approach makes the HT suitable for VLSI implementation as well as applicable to real-time high-throughput applications of modern signal processing

Keywords

filtering and prediction theory; least squares approximations; systolic arrays; RLS algorithm; block Householder transformation; systolic array; Adaptive signal processing; Array signal processing; Computer architecture; Filtering; Parallel processing; Resonance light scattering; Signal processing algorithms; Systolic arrays; Throughput; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on

Conference_Location

Albuquerque, NM

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1990.115739

Filename

115739

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2893133