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Processing of Electromagnetic Arrays with Missing Data - Source Field Structure and Source Free Transfer Functions
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Geosciences and Environmental Engineering.ORCID iD: 0000-0002-5600-5375
Oregon State University, United States.
2016 (English)In: EAGE/DGG Workshop on Deep Mineral Exploration 2016: Chasing Both Land and Sea Deposits, European Association of Geoscientists and Engineers, EAGE , 2016, p. 54-57Conference paper, Published paper (Other academic)
Abstract [en]

New approach for multivariate analysis of EM data MsDEMPCA (Missing data EM Principal Components Analysis) is applied to several large arrays: the Baltic Electromagnetic Array Research (BEAR), Electromagnetic Mini Array (EMMA), Magnetotellurics in Scandes (MASCA), IMAGE obesrvatory data and various EarthScope MT arrays, with the goal of demonstrating how the MV approach can clarify signal and noise characteristics, improve estimates of TFs, and, perhaps most importantly, quantify biases in these estimates.

Place, publisher, year, edition, pages
European Association of Geoscientists and Engineers, EAGE , 2016. p. 54-57
National Category
Geophysics
Research subject
Applied Geophysics
Identifiers
URN: urn:nbn:se:ltu:diva-105510DOI: 10.3997/2214-4609.201600038Scopus ID: 2-s2.0-84973889557OAI: oai:DiVA.org:ltu-105510DiVA, id: diva2:1858582
Conference
EAGE/DGG Workshop on Deep Mineral Exploration 2016: Chasing Both Land and Sea Deposits, Münster, Germany, March 18, 2016
Note

ISBN for host publication: 9781510822474

Available from: 2024-05-17 Created: 2024-05-17 Last updated: 2024-05-17Bibliographically approved

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Smirnov, Maxim Yu

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