DocumentCode
1993429
Title
Normalized ARMA Schur algorithm
Author
Kwan, Hon Keung ; Lui, Ying Chun
Author_Institution
Dept. of Electr. & Electron. Eng., Hong Kong Univ., Hong Kong
fYear
1989
fDate
14-16 Aug 1989
Firstpage
1103
Abstract
A Schur-type algorithm for estimating the one-dimensional autoregressive moving average (ARMA) model from the correlations of the observed inputs and outputs of an unknown system is proposed. The algorithm represents a faster alternative to conventional methods. It is characterized by flexibility in the arrangement of order-update operations, and the simplicity and modularity of the computational architecture. The substantial amount of parallelism contained in the algorithm makes it suitable for VLSI implementation
Keywords
filtering and prediction theory; matrix algebra; parallel algorithms; signal processing; ARMA Schur algorithm; ID ARMA model; VLSI implementation; autoregressive moving average; computational architecture; modularity; order-update operations; Computer architecture; Concurrent computing; Context modeling; Employment; Lattices; Parallel processing; Solid modeling; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1989., Proceedings of the 32nd Midwest Symposium on
Conference_Location
Champaign, IL
Type
conf
DOI
10.1109/MWSCAS.1989.102047
Filename
102047
Link To Document