Cargando…
Deep-Learning-Based Adaptive Symbol Decision for Visual MIMO System with Variable Channel Modeling
A channel modeling method and deep-learning-based symbol decision method are proposed to improve the performance of a visual MIMO system for communication between a variable-color LED array and camera. Although image processing algorithms using color clustering are available to correct distorted col...
Autores principales: | Kim, Jai-Eun, Kwon, Tae-Ho, Kim, Ki-Doo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573200/ https://www.ncbi.nlm.nih.gov/pubmed/36236273 http://dx.doi.org/10.3390/s22197176 |
Ejemplares similares
-
Time-Sharing-Based Synchronization and Performance Evaluation of Color-Independent Visual-MIMO Communication
por: Kwon, Tae-Ho, et al.
Publicado: (2018) -
LEA Detection and Tracking Method for Color-Independent Visual-MIMO
por: Kim, Jai-Eun, et al.
Publicado: (2016) -
Color-Space-Based Visual-MIMO for V2X Communication †
por: Kim, Jai-Eun, et al.
Publicado: (2016) -
Efficient Massive MIMO Detection for M-QAM Symbols
por: Quan, Zhi, et al.
Publicado: (2023) -
Deep Learning for Massive MIMO Channel State Acquisition and Feedback
por: Boloursaz Mashhadi, Mahdi, et al.
Publicado: (2020)