Convolutional neural network combined with stochastic parallel gradient descent to decompose fiber modes based on far-field measurements
B Kim, J Na, Y Jeong - Journal of Lightwave Technology, 2023 - opg.optica.org
Modal decomposition (MD) of fiber modes based on direct far-field measurement combining
the convolutional neural network (CNN) with a stochastic parallel gradient descent (SPGD) …
the convolutional neural network (CNN) with a stochastic parallel gradient descent (SPGD) …
Simulation and experimental validation of the JCR-CNN model for hybrid modes recognition and decomposition in few-mode fibers
The issue of mode decomposition (MD) in optical fibers is regarded as a regression problem
has been widely studied and applied, however, in contrast, the identification of different …
has been widely studied and applied, however, in contrast, the identification of different …
A high-robustness radial intensity-orientated mode decomposition with reliable noise elimination
J Wang, L Pei, L Xu, K Hu, Z Li, H Gao - Applied Physics Letters, 2024 - pubs.aip.org
Mode decomposition (MD) provides profound evidence to reveal the internal modal
transmission mechanism. However, the indelible noise has always been the main stubborn …
transmission mechanism. However, the indelible noise has always been the main stubborn …
A Novel Faster RCNN Model Based on Multi-scale Feature Fusion and Shape Priori for Dense Vehicle Detection
Y Li - Sensing and Imaging, 2023 - Springer
Compared with conventional targets, dense targets have less information, and the training
data is difficult to be labeled, which leads to the poor detection effect with general target …
data is difficult to be labeled, which leads to the poor detection effect with general target …