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Article . 2023
License: CC BY NC ND
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ZENODO
Article . 2023
License: CC BY NC ND
Data sources: Datacite
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Noise Considerations for TEMPEST Data

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 04 Sep 2023 English Publisher:Zenodo
Authors: Peter Wolfgram; Teo Hage; Eric Steele;

doi: 10.5281/zenodo.10067895 , 10.5281/zenodo.10067896

Noise Considerations for TEMPEST Data

Abstract

The noise characteristic of an AEM system is crucial not only for designing the signal processing strategy but more importantly for interpreting the data in terms of an earth model. Ad hoc estimates of noise are often all that is available to the user of an AEM data set, leaving noise as the 'elephant in the room'. We present a rigorous approach to estimating noise from first principles . We illustrate how such estimates may be obtained from high- altitude calibration data and then be applied to processing and interpretation of TEMPEST data.

Open-Access Online Publication: November 3, 2023

Keywords

Data Processing, Conductivity Inversion., TEMPEST, Noise Model

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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