DocumentCode
698864
Title
Three-dimensional autoregressive parameter estimation from noisy data
Author
Stitou, Y. ; Donias, M. ; Aksasse, B.
Author_Institution
Equipe Signal & Image, ENSEIRB, Talence, France
fYear
2005
fDate
4-8 Sept. 2005
Firstpage
1
Lastpage
4
Abstract
This paper deals with the three-dimensional Autoregressive (3-D AR) model parameter estimation from noisy data. We develop an algorithm to estimate the transversal AR parameters corresponding to the Quarter-Space (QS) region of support without a priori knowledge of additive noise power. The transversal parameters and the noise variance are both obtained as a solution of a quadratic eigenvalue problem. The performance of the proposed algorithm is evaluated by numerical examples.
Keywords
AWGN; autoregressive processes; eigenvalues and eigenfunctions; parameter estimation; 3D traversal AR model parameter estimation; QS region; a priori knowledge; additive Gaussian white noise; noise variance; noisy data; quadratic eigenvalue problem; quarter-space region; three-dimensional autoregressive parameter estimation; Eigenvalues and eigenfunctions; Equations; Mathematical model; Noise; Noise measurement; Numerical models; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2005 13th European
Conference_Location
Antalya
Print_ISBN
978-160-4238-21-1
Type
conf
Filename
7078461
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