A split-Levison approach to autoregressive modeling
Dicken, William A.
Hippenstiel, Ralph D.
MetadataShow full item record
The classical Levinson-Durbin linear prediction formulas for real valued input sequences are examined and compared to the recently proposed split-Levinson formulas. Both the autoregressive linear predictor model and the adaptive lattice model are used to formulate the new split-Levinson algorithms. A brief introduction to the theory of symmetric polynomials is presented to form the basis of the new algorithms. Computer simulations are used to test and compare the computational accuracy of the new algorithms for AR filter coefficient estimation, parameter estimation for a moving average process, and spectral estimation of sinusoids in white noise. Research results indicate that the new algorithms reduce the number of real multiplications required for a k sub th order AR filter problem by one-half, and they are applicable to both the extended Prony method of spectral estimation of moving average parameters. Keywords: Text processing, Word processing, Theses. (kr)
Approved for public release; distribution is unlimited
Showing items related by title, author, creator and subject.
Tappe, J.; Kim, J.J.; Jordan,A.; Agrawal, B.N. (2011);This paper presents a study of star tracker attitude estimation algorithms and implementation on an indoor ground-based Three Axis Spacecraft Simulator (TASS). Angle, Planar Triangle, and Spherical Triangle algorithms are ...
Bennett, Granger Hart (Monterey, California. Naval Postgraduate School, 2000-09);This thesis examines acoustic transient discrimination and Time Difference Of Arrival (TDOA) estimation for the purposes of estimating the position of a submarine in a sonobuoy field. Transient discrimination, for this ...
Nikitakos, Nikitas V. (Monterey, California. Naval Postgraduate School, 1988);Computer simulation studies of two frequency domain adaptive beamforming algorithms are presented. The two algorithms are the frequency domain adaptive beamforming modified least-mean-square algorithm, and the proposed new ...