Real-time noise cancellation with deep learning

Biological measurements are often contaminated with large amounts of non-stationary noise which require effective noise reduction techniques. We present a new real-time deep learning algorithm which produces adaptively a signal opposing the noise so that destructive interference occurs. As a proof o...

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Detalles Bibliográficos
Autores principales: Porr, Bernd, Daryanavard, Sama, Bohollo, Lucía Muñoz, Cowan, Henry, Dahiya, Ravinder
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678292/
https://www.ncbi.nlm.nih.gov/pubmed/36409690
http://dx.doi.org/10.1371/journal.pone.0277974

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678292/
https://www.ncbi.nlm.nih.gov/pubmed/36409690
http://dx.doi.org/10.1371/journal.pone.0277974

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