Cargando…
Sparse Sliding-Window Kernel Recursive Least-Squares Channel Prediction for Fast Time-Varying MIMO Systems
Accurate channel state information (CSI) is important for MIMO systems, especially in a high-speed scenario, fast time-varying CSI tends to be out of date, and a change in CSI shows complex nonlinearities. The kernel recursive least-squares (KRLS) algorithm, which offers an attractive framework to d...
Autores principales: | Ai, Xingxing, Zhao, Jiayi, Zhang, Hongtao, Sun, Yong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9412379/ https://www.ncbi.nlm.nih.gov/pubmed/36016009 http://dx.doi.org/10.3390/s22166248 |
Ejemplares similares
-
Kernel Recursive Least-Squares Temporal Difference Algorithms with Sparsification and Regularization
por: Zhang, Chunyuan, et al.
Publicado: (2016) -
Minibatch Recursive Least Squares Q-Learning
por: Zhang, Chunyuan, et al.
Publicado: (2021) -
SRGS: sparse partial least squares-based recursive gene selection for gene regulatory network inference
por: Guan, Jinting, et al.
Publicado: (2022) -
[Formula: see text] -regularized recursive total least squares based sparse system identification for the error-in-variables
por: Lim, Jun-seok, et al.
Publicado: (2016) -
Kernel recursive least square tracker and long-short term memory ensemble based battery health prognostic model
por: Ali, Muhammad Umair, et al.
Publicado: (2021)