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arXiv · 2510.00873

Reducci\'on de ruido por medio de autoencoders: caso de estudio con la se\~nal GW150914

Fernanda Zapata Bascuñán·Darío Fernando Mendieta
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Abstract

This brief study focuses on the application of autoencoders to improve the quality of low-amplitude signals, such as gravitational events. A pre-existing autoencoder was trained using cosmic event data, optimizing its architecture and parameters. The results show a significant increase in the signal-to-noise ratio of the processed signals, demonstrating the potential of autoencoders in the analysis of small signals with multiple sources of interference.

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Fernanda Zapata Bascuñán, Darío Fernando Mendieta. 2025-10-01. Reducci\'on de ruido por medio de autoencoders: caso de estudio con la se\~nal GW150914. https://arxiv.org/abs/2510.00873

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