{"ID":2862083,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.00873","arxiv_id":"2510.00873","title":"Reducción de ruido por medio de autoencoders: caso de estudio con la señal GW150914","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.","short_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 t...","url_abs":"https://arxiv.org/abs/2510.00873","url_pdf":"https://arxiv.org/pdf/2510.00873v1","authors":"[\"Fernanda Zapata Bascuñán\",\"Darío Fernando Mendieta\"]","published":"2025-10-01T13:22:51Z","proceeding":"cs.LG","tasks":"[\"cs.LG\",\"astro-ph.IM\"]","methods":"[]","has_code":false}