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
fDate :
28 Sept.-1 Oct. 2003
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;
Conference_Titel :
Statistical Signal Processing, 2003 IEEE Workshop on
Print_ISBN :
0-7803-7997-7
DOI :
10.1109/SSP.2003.1289358