Title :
Asymptotic Cram??r-Rao Bound for Multi-Dimensional Harmonic Models
Author :
Sajjad, N. ; Boyer, Remy
Author_Institution :
Lab. des Signaux et Syst., CNRS, France
Abstract :
The multi-dimensional harmonic model has attracted considerable attention for a variety of applications in signal processing. Stoica and Nehorai have derived the asymptotic (ie., for large analysis duration) Cramer-Rao lower bound (ACRB) which represents the minimal theoretical variance in the estimation of the model parameters for a one-dimensional harmonic model of order M. In this work, we generalize and analyze the ACRB associated to a M-order harmonic model of dimension P with P > 1.
Keywords :
harmonic analysis; signal processing; M-order harmonic model; asymptotic Cramer-Rao lower bound; large analysis duration; minimal theoretical variance; multi-dimensional harmonic models; signal processing; Analysis of variance; Audio compression; Digital signal processing; Harmonic analysis; Multidimensional signal processing; Parameter estimation; Radar signal processing; Sensor arrays; Tensile stress; Uninterruptible power systems; Parameter estimation; multidimensional signal processing;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0727-3
DOI :
10.1109/ICASSP.2007.366861
