DocumentCode :
455042
Title :
Multidimensional Complex Number Parametric Model Order and Parameters Estimation
Author :
Kouame, D. ; Gamier, C. ; Gregoire, J.M. ; Girault, J.M.
Author_Institution :
LUSSI, Tours Univ.
Volume :
3
fYear :
2006
fDate :
14-19 May 2006
Abstract :
This paper presents a technique for accessing multidimensional complex number AR model order and parameters through matrix factorization. The principle of this technique consists of the transformation of the multidimensional model to a pseudo SISO (simple input simple output) AR model then performing factorization of the covariance matrix of the data. This factorization then leads to a recursive form of the parameter and order estimation. The methodology developed here may be applied to an AR model of any dimension. Computer simulation results are provided to illustrate the behavior of this method
Keywords :
autoregressive processes; covariance matrices; recursive estimation; signal processing; autoregressive model; covariance matrix; matrix factorization; multidimensional complex number AR model order; multidimensional complex number parametric model order; order estimation; parameters estimation; pseudo SISO; pseudo simple input simple output AR model; recursive form; Additive noise; Computer simulation; Covariance matrix; Electronic mail; Multidimensional signal processing; Multidimensional systems; Parameter estimation; Parametric statistics; Recursive estimation; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
ISSN :
1520-6149
Print_ISBN :
1-4244-0469-X
Type :
conf
DOI :
10.1109/ICASSP.2006.1660655
Filename :
1660655
Link To Document :
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