Bias correction for direct spectral estimation from irregularly sampled data including sampling schemes with correlation

Bias correction for direct spectral estimation from irregularly sampled data including sampling schemes with correlation

Abstract The prediction and correction of systematic errors in direct spectral estimation from irregularly sampled data taken from a stochastic process is investigated. Different sampling schemes are investigated, which lead to such an irregular sampling of the observed process. Both kinds of sampli...

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Bibliographic Details
Main Authors: Nils Damaschke, Volker Kühn, Holger Nobach
Format: Article
Language:English
Published: SpringerOpen 2021-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Bias-free estimation
Spectrum
Random sampling
Missing samples
Data gaps
Online Access:https://doi.org/10.1186/s13634-020-00712-4

Internet

https://doi.org/10.1186/s13634-020-00712-4

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