Comparative analysis of power spectrum estimation methods
Gintarė Petreikytė
Matematikos ir informatikos institutas
Kazys Kazlauskas
Vilniaus pedagoginis universitetas
Published 2010-12-21


power spectrum estimation
nonparametric methods
parametric methods
subspace methods
comparative analysis

How to Cite

Petreikytė G. and Kazlauskas K. (2010) “Comparative analysis of power spectrum estimation methods”, Lietuvos matematikos rinkinys, 51(proc. LMS), pp. 301–306. doi: 10.15388/LMR.2010.55.


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.

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