DocumentCode :
952665
Title :
An analog architecture on parameter estimation of ARMA models
Author :
Wu, Wen-Chih ; Chen, Rong-Ming ; Chang, Shyang
Author_Institution :
Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
Volume :
41
Issue :
9
fYear :
1993
fDate :
9/1/1993 12:00:00 AM
Firstpage :
2946
Lastpage :
2953
Abstract :
An analog architecture that is suitable for parameter estimation of autoregressive moving average (ARMA) models is proposed. The convergence theorem that connects this architecture with ARMA parameter estimation is presented. Simulation results indicate that its convergence takes only a few microseconds. Hence, this architecture can lead to online implementations
Keywords :
analogue processing circuits; convergence; parameter estimation; ARMA models; analog architecture; autoregressive moving average; convergence theorem; online implementations; parameter estimation; Computer architecture; Convergence; Entropy; Equations; Least squares methods; Parameter estimation; Polynomials; Signal processing; Signal processing algorithms; Very large scale integration;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.236518
Filename :
236518
Link To Document :
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