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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/180406
Processing of Magnetotelluric Data Using Machine Learning Techniques
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This report is based on magnetotelluric (MT) data from the electromagnetic (EM) Earth field. The main objective is to analyze, reduce, and asses EM noise, coming from man-made technologies. To evaluate how to denoise MT data, a code is developed in Python, which uses the K-Means technique from machine learning. In the end, it is obtained a preliminary method to identify noise situations.
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Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2021, Tutor: Alejandro Marcuello Pascual
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NOCELO SAMPEDRO, Paula. Processing of Magnetotelluric Data Using Machine Learning Techniques. [consulted: 9 of October of 2026]. Available at: https://hdl.handle.net/2445/180406