A Deep Learning-Based Strategy to Predict Self-Interference in SFN DTT
D Pereira-Ruisánchez, D Pérez-Adán… - Engineering …, 2021 - mdpi.com
A deep learning-based strategy for the analysis of the self-interference in single frequency
networks (SFNs) for digital terrestrial television (DTT) broadcasting is considered. Several …
networks (SFNs) for digital terrestrial television (DTT) broadcasting is considered. Several …
Prediction of Signal Quality and SFN Interference Metrics Using Machine Learning Models
DP Ruisánchez, DG Mirabal, EF Pupo… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
This paper addresses a machine learning-based approach to the study of the effect of
interference in single frequency networks (SFNs). The self-interference in overlapping areas …
interference in single frequency networks (SFNs). The self-interference in overlapping areas …
Metodología para analizar y visualizar el comportamiento de redes SFN en Medellín utilizando el Software Xirio Online
KA Delgado Navarro, SB Murillo Bravo - 2023 - repository.ucc.edu.co
Actualmente, no es posible identificar si existen interferencias o falta de cobertura para
señales de redes SFN. A raíz de esto, se detalla una propuesta de investigación empleando …
señales de redes SFN. A raíz de esto, se detalla una propuesta de investigación empleando …
[引用][C] SFN DTT
D Pereira-Ruisánchez, D Pérez-Adán, L Castedo - The 4th XoveTIC Conference, 2021