Identifying interference from multiple noise sources using only magnetic near fields
As electronic products become increasingly more complicated, multiple noise sources are
likely to simultaneously interfere with the radio frequency (RF) receiver. It will be very helpful …
likely to simultaneously interfere with the radio frequency (RF) receiver. It will be very helpful …
A new method for identifying electromagnetic radiation sources using backpropagation neural network
D Shi, Y Gao - IEEE transactions on electromagnetic …, 2013 - ieeexplore.ieee.org
Artificial neural networks (ANN) have been widely applied for their intelligence in pattern
recognition and microwave components. For an electromagnetic (EM) radiated noise source …
recognition and microwave components. For an electromagnetic (EM) radiated noise source …
[PDF][PDF] The analytical and artificial intelligence methods to investigate the effects of aperture dimension ratio on electrical shielding effectiveness
IB Basyigit, H Dogan - International Journal of Electronics and …, 2019 - bibliotekanauki.pl
This paper presents that the effect of single aperture size of metallic enclosure on electrical
shielding effectiveness (ESE) at 0–1 GHz frequency range has been investigated by using …
shielding effectiveness (ESE) at 0–1 GHz frequency range has been investigated by using …
[PDF][PDF] Identifying interference from multiple noise sources by magnetic near fields only
As electronic products become more and more complicated, multiple noise sources very
likely interfere with the radio frequency (RF) receiver simultaneously. This paper proposes a …
likely interfere with the radio frequency (RF) receiver simultaneously. This paper proposes a …
Prediction of system-level electric field radiated emission based on ANN reverse model
L Luyao, J Xiao, C Jinliang - 强激光与粒子束, 2024 - hplpb.com.cn
To address the issue of system-level electromagnetic compatibility, a new method of
predicting electromagnetic interference of complex systems based on artificial neural …
predicting electromagnetic interference of complex systems based on artificial neural …
HEMP Excited Shield Residual Electric Field Modeling Method Based on NARX Neural Network
Z Zhu, J Yang, Y Shi, X Nie, L Xie, W Wang - Progress In Electromagnetics …, 2020 - jpier.org
To predict the residual electric field inside an electromagnetic (EM) shield under illumination
of different HEMP waveforms, a method based on NARX neural network is proposed in this …
of different HEMP waveforms, a method based on NARX neural network is proposed in this …
[PDF][PDF] 基于神经网络反向模型的系统级电场辐射发射预测 D
刘璐瑶, 金晓, 蔡金良 - 强激光与粒子束, 2024 - researching.cn
针对多设备叠加系统级电磁兼容性问题, 提出了一种基于神经网络反向模型的复杂系统电磁干扰
预测新方法. 首先实测单设备电场辐射发射数据, 通过噪声源辐射发射等效性原理仿真多设备 …
预测新方法. 首先实测单设备电场辐射发射数据, 通过噪声源辐射发射等效性原理仿真多设备 …
The effect of shielding, grounding and bonding to the electromagnetic compatibility of high emission printed circuit board
A Mohammed Nwehil - 2018 - eprints.uthm.edu.my
Electromagnetic Compatibility (EMC) is the capability of the device or the system to perform
its work correctly within its electromagnetic environment without causing the introduction of …
its work correctly within its electromagnetic environment without causing the introduction of …
Analysis of Modeling and Simulation on Shielding Effectiveness
G Zhang, Y Ding, Z Wang, X Zhang… - … Conference on Material …, 2017 - atlantis-press.com
Enclosure is an important equipment to reduce the electromagnetic interference. Rational
design can make electronic equipment has a good electromagnetic compatibility. This paper …
design can make electronic equipment has a good electromagnetic compatibility. This paper …