DocumentCode :
3039725
Title :
An iterative procedure for moving average models estimation
Author :
Le Roux, Joël ; Grenier, Yves
Author_Institution :
ENST, Paris Cedex, France
Volume :
5
fYear :
1980
fDate :
29312
Firstpage :
614
Lastpage :
617
Abstract :
Using the formulation of Levinson\´s algorithm in terms of cross correlation estimates as presented by RISSANEN, it is shown that, in the case of a finite length autocorrelation serie R(z) (i.e. moving average models), this procedure generates a serie that converges towards a causal impulse response E(z) . This response has a finite length and its autocorrelation E(z)\\cdot E(z^{-1}) is proportionnal to R(z) . Moreover it is shown that E(z) has all its roots inside or on the unit cercle (minimal phase response). The proof uses mainly the properties of the PARCOR coefficients.
Keywords :
Autocorrelation; Convergence; Covariance matrix; Hydrogen; Iterative algorithms; Matrix decomposition; Multidimensional systems; Polynomials; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '80.
Type :
conf
DOI :
10.1109/ICASSP.1980.1170869
Filename :
1170869
Link To Document :
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