Low-Complexity Optical-Mode Decomposition through Vector-Eigenmode Pursuing Residual Network (VE-ResNet) by only Intensity-Domain Information

We propose the vector-eigenmode decomposition through the residual network model by using only intensity-distributed image. The reductions on computation workloads and prediction times are respectively 822M and 10 percent, while maintaining the accurate decomposition output. © 2024 The Author(s)

Authors

Institutions

Publication Details

Published
2024-08-04
DOI
https://doi.org/10.1109/cleo-pr60912.2024.10676739
Citations
1
Primary Topic
Advanced Fiber Laser Technologies
Type
article
Field-Weighted Citation Impact
0.34

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Low-Complexity Optical-Mode Decomposition through Vector-Eigenmode Pursuing Residual Network (VE-ResNet) by only Intensity-Domain Information

Baojian Wu, Kun Qiu, Wen Jing Feng, Rui Zhang et al.
1 citations
Advanced Fiber Laser Technologies
0.34
article

Low-Complexity Optical-Mode Decomposition through Vector-Eigenmode Pursuing Residual Network (VE-ResNet) by only Intensity-Domain Information

Baojian Wu, Kun Qiu, Wen Jing Feng, Rui Zhang, Jianjun Li, Feng Yang
article en
1 citations

Abstract

We propose the vector-eigenmode decomposition through the residual network model by using only intensity-distributed image. The reductions on computation workloads and prediction times are respectively 822M and 10 percent, while maintaining the accurate decomposition output. © 2024 The Author(s)

University of Electronic Science and Technology of China (CN)
National Key Research and Development Program of China
Climate action
Openalex Percentile: Top 40%
Advanced Fiber Laser Technologies
0.34
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Low-Complexity Optical-Mode Decomposition through Vector-Eigenmode Pursuing Residual Network (VE-ResNet) by only Intensity-Domain Information — Baojian Wu, Kun Qiu, et al. · (2024) | TGRS Research Map | TGRS