Statistical methods for ambient noise characterisation, modelling and suppression: theory and applications for surface microseismic monitoring.

Birnie, Claire Emma (2018) Statistical methods for ambient noise characterisation, modelling and suppression: theory and applications for surface microseismic monitoring. PhD thesis, University of Leeds.

Abstract

Metadata

Keywords: microseismic, noise modelling, noise suppression, synthetic datasets, statistical processing
Awarding institution: University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds)
Identification Number/EthosID (e.g. uk.bl.ethos.123456): uk.bl.ethos.742330
Depositing User: Mrs Claire E. Birnie
Date Deposited: 04 Jun 2018 09:08
Last Modified: 25 Jul 2018 09:57

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