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
(i.e. moving average models), this procedure generates a serie that converges towards a causal impulse response
. This response has a finite length and its autocorrelation
is proportionnal to
. Moreover it is shown that
has all its roots inside or on the unit cercle (minimal phase response). The proof uses mainly the properties of the PARCOR coefficients.
(i.e. moving average models), this procedure generates a serie that converges towards a causal impulse response
. This response has a finite length and its autocorrelation
is proportionnal to
. Moreover it is shown that
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