Decoupling RNN Training and Testing Observation Intervals for Spectrum Sensing Applications

Recurrent neural networks have been shown to outperform other architectures when processing temporally correlated data, such as from wireless communication signals. However, compared to other architectures, such as convolutional neural networks, recurrent neural networks can suffer from drastically...

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Detalles Bibliográficos
Autores principales: Moore, Megan O., Buehrer, R. Michael, Headley, William Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269017/
https://www.ncbi.nlm.nih.gov/pubmed/35808202
http://dx.doi.org/10.3390/s22134706

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269017/
https://www.ncbi.nlm.nih.gov/pubmed/35808202
http://dx.doi.org/10.3390/s22134706

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