On Robust Estimation of Power Spectra

Let us consider the problem of robust spectral density estimation. Conventional methods to obtain estimates of spectral density function are not robust in the presence of outlying observations. We present different methods to robustly estimate the spectral density function that are insensitive again...

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Main Authors: Bernhard Spangl, Rudolf Dutter
Format: Article
Language:English
Published: Austrian Statistical Society 2016-04-01
Series:Austrian Journal of Statistics
Online Access:http://www.ajs.or.at/index.php/ajs/article/view/412
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spelling doaj-bc46b05113bc4204a92b655e2bcef2cc2021-04-22T12:33:27ZengAustrian Statistical SocietyAustrian Journal of Statistics1026-597X2016-04-0134210.17713/ajs.v34i2.412On Robust Estimation of Power SpectraBernhard Spangl0Rudolf Dutter1University of Natural Resources and Applied Life Sciences, Vienna, AustriaVienna University of Technology, AustriaLet us consider the problem of robust spectral density estimation. Conventional methods to obtain estimates of spectral density function are not robust in the presence of outlying observations. We present different methods to robustly estimate the spectral density function that are insensitive against outliers. The proposed methods are applied to simulated and real data and the results are compared. As a special practical application we focus on the frequency-domain analysis of short-term heart rate variability measurements of diabetes patients. http://www.ajs.or.at/index.php/ajs/article/view/412
collection DOAJ
language English
format Article
sources DOAJ
author Bernhard Spangl
Rudolf Dutter
spellingShingle Bernhard Spangl
Rudolf Dutter
On Robust Estimation of Power Spectra
Austrian Journal of Statistics
author_facet Bernhard Spangl
Rudolf Dutter
author_sort Bernhard Spangl
title On Robust Estimation of Power Spectra
title_short On Robust Estimation of Power Spectra
title_full On Robust Estimation of Power Spectra
title_fullStr On Robust Estimation of Power Spectra
title_full_unstemmed On Robust Estimation of Power Spectra
title_sort on robust estimation of power spectra
publisher Austrian Statistical Society
series Austrian Journal of Statistics
issn 1026-597X
publishDate 2016-04-01
description Let us consider the problem of robust spectral density estimation. Conventional methods to obtain estimates of spectral density function are not robust in the presence of outlying observations. We present different methods to robustly estimate the spectral density function that are insensitive against outliers. The proposed methods are applied to simulated and real data and the results are compared. As a special practical application we focus on the frequency-domain analysis of short-term heart rate variability measurements of diabetes patients.
url http://www.ajs.or.at/index.php/ajs/article/view/412
work_keys_str_mv AT bernhardspangl onrobustestimationofpowerspectra
AT rudolfdutter onrobustestimationofpowerspectra
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