DocumentCode :
819291
Title :
Sequential algorithm for identification of parameters of an autoregressive process
Author :
Srinath, M.D. ; Viswanathan, M.M.
Author_Institution :
Southern Methodist University, Dallas, TX, USA
Volume :
20
Issue :
4
fYear :
1975
fDate :
8/1/1975 12:00:00 AM
Firstpage :
542
Lastpage :
546
Abstract :
An algorithm for the sequential identification of the parameters of a stationary process described by an autoregressive (AR) model is presented. A set of parameters obtained by a transformation of the AR model is introduced which leads to certain computational advantages. An example is presented to illustrate the use of the algorithms.
Keywords :
Autoregressive processes; Linear systems, stochastic discrete-time; Parameter identification; Sequential estimation; Autoregressive processes; Difference equations; Kernel; Lattices; Least squares methods; Leg; Polynomials; Stochastic processes; Transfer functions; Vectors;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.1975.1101017
Filename :
1101017
Link To Document :
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