Intrusion Discrimination in Terms of LMD and ICA With Combined Features in The Fiber-Optic Perimeter System
For improving the performance of intrusion discrimination in the dual Mach-zehnder interferometric (DMZI) perimeter system, we propose a novel method based upon local mean decomposition (LMD), independent component analysis (ICA) and features combination. By the LMD-ICA, the original signal is proce...
Saved in:
| Main Authors: | Meng Li, Yifei Zhao, Yuzhao Ma, Guizhong Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
|
| Series: | IEEE Photonics Journal |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9050540/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
ROLLING BEARING FAULT DIAGNOSIS BASED ON LMD AND ICA
by: CHEN ChongYang, et al.
Published: (2016-01-01) -
Hybrid Feature Extraction-Based Intrusion Discrimination in Optical Fiber Perimeter Security System
by: Xiangdong Huang, et al.
Published: (2017-01-01) -
Improved FastICA algorithm for data optimization processing in intrusion detection
by: Ye DU, et al.
Published: (2016-01-01) -
Fault Location for Active Distribution Network Based on Improved LMD and Energy Relative Entropy
by: Yanchun XU, et al.
Published: (2021-11-01) -
An Integrated Mechanical Fault Diagnosis Framework Using Improved GOOSE-VMD, RobustICA, and CYCBD
by: Jingzong Yang, et al.
Published: (2025-07-01)