DocumentCode :
1194419
Title :
Pole identification of ARMA processes by extended Levinson recursion
Author :
Martinelli, G. ; Orlandi, G. ; Burrascano, P.
Volume :
33
Issue :
3
fYear :
1986
fDate :
3/1/1986 12:00:00 AM
Firstpage :
348
Lastpage :
350
Abstract :
Very simple algorithms are available in the technical literature for identifying an AR process. The most famous of them is the Levinson recursion. The simplicity of this recursion is a consequence of the peculiar nature of the Yule-Walker equations which it solves. A similar situation does not exist in the case of ARMA processes, also for their AR parts, in spite of the fact that these parts satisfy the extended Yule-Walker equations. The closeness of the Yule-Walker equations to their extended version suggests the possibility of extending the Levinson procedure for determining the AR part of an ARMA process. A further motivation to this extension is represented by the results obtained in [1]. In the present letter we will show such an extension and we will illustrate the resulting algorithm by an example regarding a radar application.
Keywords :
Autoregressive moving-average processes; Poles and zeros, linear systems; Acoustic signal processing; Attenuation; Digital filters; Equations; Filter bank; Frequency response; IIR filters; Passband; Signal processing algorithms; Speech processing;
fLanguage :
English
Journal_Title :
Circuits and Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0098-4094
Type :
jour
DOI :
10.1109/TCS.1986.1085905
Filename :
1085905
Link To Document :
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