Cargando…
Compressed-Sensing Reconstruction Based on Block Sparse Bayesian Learning in Bearing-Condition Monitoring
Remote monitoring of bearing conditions, using wireless sensor network (WSN), is a developing trend in the industrial field. In complicated industrial environments, WSN face three main constraints: low energy, less memory, and low operational capability. Conventional data-compression methods, which...
Autores principales: | Sun, Jiedi, Yu, Yang, Wen, Jiangtao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492445/ https://www.ncbi.nlm.nih.gov/pubmed/28635623 http://dx.doi.org/10.3390/s17061454 |
Ejemplares similares
-
Compression Reconstruction and Fault Diagnosis of Diesel Engine Vibration Signal Based on Optimizing Block Sparse Bayesian Learning
por: Bai, Huajun, et al.
Publicado: (2022) -
Sparse Reconstruction of Sound Field Using Bayesian Compressive Sensing and Equivalent Source Method
por: Xiao, Yue, et al.
Publicado: (2023) -
Bayesian Compressive Sensing of Sparse Signals with Unknown Clustering Patterns
por: Shekaramiz, Mohammad, et al.
Publicado: (2019) -
Compressed sensing & sparse filtering
por: Carmi, Avishy Y, et al.
Publicado: (2013) -
Sparse reconstruction of compressive sensing MRI using cross-domain stochastically fully connected conditional random fields
por: Li, Edward, et al.
Publicado: (2016)