Title :
An ARMA spectral analysis technique based on a fast Euclidean algorithm
Author :
Palmer, Robert D. ; Cruz, J.R.
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Oklahoma Univ., Norman, OK, USA
fDate :
10/1/1989 12:00:00 AM
Abstract :
An approach to high resolution spectral analysis using rational signal models is presented. This technique is based on a fast Euclidean algorithm for polynomials that has a computational complexity on the order of n log2 n. Some background material on Pade approximation and the Euclidean algorithm is presented. Some examples are presented, and the results are evaluated using the exact Cramer-Rao lower bound. This method is shown to perform well in the presence of white and colored noise
Keywords :
spectral analysis; Pade approximation; colored noise; computational complexity; exact Cramer-Rao lower bound; fast Euclidean algorithm; high resolution spectral analysis; polynomials; rational signal models; white noise; Approximation algorithms; Difference equations; Helium; Parametric statistics; Polynomials; Signal processing algorithms; Signal resolution; Spectral analysis; Vectors; White noise;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
