DocumentCode
2852686
Title
New results on almost-sure identifiability of 2D-harmonic retrieval
Author
Pesavento, Marius ; Mecklenbräuke, Christoph E. ; Bohme, Johann
Author_Institution
Dept. of Electr. Eng. & Information Sci., Ruhr-Univ., Bochum, Germany
fYear
2003
fDate
28 Sept.-1 Oct. 2003
Firstpage
133
Lastpage
136
Abstract
In this paper the 2D harmonic retrieval problem is considered. New stochastic identifiability results are derived which equally holds true for the damped and undamped exponential mixtures. Previous results obtained for the 2D case indicate that up to ┌K/2┐ ┌L/2┐ exponentials can almost-surely be identified. In this contribution, we show that this bound is conservative. Simulations indicate that at least ┌(KL)/3┐ harmonics can uniquely be resolved almost-surely. In the second part of the paper the obtained identifiability conditions are compared to stochastic uniqueness conditions of the 2D RARE algorithm.
Keywords
harmonic analysis; signal processing; stochastic processes; 2D-harmonic retrieval; damped exponential mixtures; stochastic identifiability; undamped exponential mixtures; Area measurement; Chemistry; Frequency; Image retrieval; Motion estimation; Sensor arrays; Signal resolution; Size measurement; Spatial resolution; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal Processing, 2003 IEEE Workshop on
Print_ISBN
0-7803-7997-7
Type
conf
DOI
10.1109/SSP.2003.1289358
Filename
1289358
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