MAP model order selection rule for 2-D sinusoids in white noise

Author

Kliger, Mark A. ; Francos, Joseph M.

Author_Institution

Dept. of Electr. & Comput. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel

fYear

2000

fDate

2000

Firstpage

118

Lastpage

122

Abstract

We consider the problem of jointly estimating the number as well as the parameters of two-dimensional sinusoidal signals, observed in the presence of an additive white Gaussian noise field. Existing solutions to this problem are based on model order selection rules, derived for the parallel one-dimensional problem. These criteria are then adapted to the two-dimensional problem using heuristic arguments. Employing asymptotic considerations, we derive in this paper a maximum a-posteriori (MAP) model order selection criterion for jointly estimating the parameters of the two-dimensional sinusoids and their number

Keywords

AWGN; multidimensional signal processing; parameter estimation; spectral analysis; 2D sinusoidal signals; AWGN; MAP model order selection rule; additive white Gaussian noise field; asymptotic considerations; heuristic arguments; maximum a-posteriori model; Additive noise; Additive white noise; Frequency; Image processing; Image segmentation; Indexing; Maximum a posteriori estimation; Parameter estimation; Technological innovation; White noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop on

Conference_Location

Pocono Manor, PA

Print_ISBN

0-7803-5988-7

Type

conf

DOI

10.1109/SSAP.2000.870094

Filename

870094