Improving the resolution capability of the parametric power spectrum density on the base of an additive linear prediction process

Author

Tykhonov, V.A. ; Kudriavtseva, N.V.

Author_Institution

Dept. of Radio-Electron. Syst., Kharkiv Nat. Univ. of Radioelectron., Kharkiv, Ukraine

fYear

2013

fDate

16-17 April 2013

Firstpage

416

Lastpage

419

Abstract

New linear prediction polymodels is described in the article. The structure of the universal linear prediction model is shown. We propose new additive linear prediction model AR1(2)+AR₂(2). We also obtain spectral characteristics of additive processes and a system of equations for calculation of the additive model´s parameters. Comparative analysis of resolution capability is made using four methods of statistical modeling.

Keywords

autoregressive processes; spectral analysis; statistical analysis; additive linear prediction process; additive model parameter; linear prediction polymodel; parametric power spectrum density resolution capability; spectral characteristics; statistical modeling; system of equations; universal linear prediction model; Additives; Analytical models; Autoregressive processes; Computational modeling; Equations; Mathematical model; Predictive models; autoregressive linear prediction models; lattice filter; linear prediction polymodels; power spectrum density;

fLanguage

English

Publisher

ieee

Conference_Titel

Radioelektronika (RADIOELEKTRONIKA), 2013 23rd International Conference

Conference_Location

Pardubice

Print_ISBN

978-1-4673-5516-2

Type

conf

DOI

10.1109/RadioElek.2013.6530955

Filename

6530955