DocumentCode :
2893133
Title :
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 :
بازگشت