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De-noising magnetotelluric data using variational mode decomposition combined with mathematical morphology filtering and wavelet thresholding
Research article (Journal of Applied Geophysics, 2022) · cited 16× · AI/ML
De-noising magnetotelluric data using variational mode decomposition combined with mathematical morphology filtering and wavelet thresholding
Summary
De-noising magnetotelluric data using variational mode decomposition combined with mathematical morphology filtering and wavelet thresholding is a scholarly article[1].
Key Facts
De-noising magnetotelluric data using variational mode decomposition combined with mathematical morphology filtering and wavelet thresholding's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). De-noising magnetotelluric data using variational mode decomposition combined with mathematical morphology filtering and wavelet thresholding. Retrieved May 24, 2026, from https://4ort.xyz/entity/de-noising-magnetotelluric-data-using-variational-mode-decomposition-combined-with-mathematical-morphology-filtering-and
MLA“De-noising magnetotelluric data using variational mode decomposition combined with mathematical morphology filtering and wavelet thresholding.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/de-noising-magnetotelluric-data-using-variational-mode-decomposition-combined-with-mathematical-morphology-filtering-and.
BibTeX@misc{4ortxyz_de-noising-magnetotelluric-data-using-variational-mode-decomposition-combined-with-mathematical-morphology-filtering-and_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{De-noising magnetotelluric data using variational mode decomposition combined with mathematical morphology filtering and wavelet thresholding}}, year = {2026}, url = {https://4ort.xyz/entity/de-noising-magnetotelluric-data-using-variational-mode-decomposition-combined-with-mathematical-morphology-filtering-and}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): De-noising magnetotelluric data using variational mode decomposition combined with mathematical morphology filtering and wavelet thresholding — https://4ort.xyz/entity/de-noising-magnetotelluric-data-using-variational-mode-decomposition-combined-with-mathematical-morphology-filtering-and (retrieved 2026-05-24)
