Single-Channel Blind Source Separation of Spatial Aliasing Signal Based on Stacked-LSTM

Aiming at the problem of insufficient separation accuracy of aliased signals in space Internet satellite-ground communication scenarios, a stacked long short-term memory network (Stacked-LSTM) separation method based on deep learning is proposed. First, the coding feature representation of the mixed...

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Detalles Bibliográficos
Autores principales: Zhao, Mengchen, Yao, Xiujuan, Wang, Jing, Yan, Yi, Gao, Xiang, Fan, Yanan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309757/
https://www.ncbi.nlm.nih.gov/pubmed/34300584
http://dx.doi.org/10.3390/s21144844

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309757/
https://www.ncbi.nlm.nih.gov/pubmed/34300584
http://dx.doi.org/10.3390/s21144844

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