Comparative analysis of power spectrum estimation methods

The subject of this paper is the comparative analysis of the eleven most important nonparametric, parametric and subspace power spectrum estimation methods. Theoretically and experimentally we analyse how the frequency resolution of the spectrum estimation methods depends on the signal length, signa...

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Bibliographic Details
Main Authors: Gintarė Petreikytė, Kazys Kazlauskas
Format: Article
Language:English
Published: Vilnius University Press 2010-12-01
Series:Lietuvos Matematikos Rinkinys
Subjects:
Online Access:https://www.journals.vu.lt/LMR/article/view/17838
Description
Summary:The subject of this paper is the comparative analysis of the eleven most important nonparametric, parametric and subspace power spectrum estimation methods. Theoretically and experimentally we analyse how the frequency resolution of the spectrum estimation methods depends on the signal length, signal-to-noise ratio (SNR) and the order parametric methods.
ISSN:0132-2818
2335-898X