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Catching the culprit in electromagnetic interference
We live in a tech-heavy environment, with electronic devices found almost anywhere. Unfortunately, electronics placed nearby do not always get along. Radiation emitted from one device can disrupt the function of another in a phenomenon known as electromagnetic interference (EMI), which affects performance efficiency.
Traditionally, researchers rely on mathematical models of near-field radiation to gauge energy emanating at close range from a potential EMI source. These models enable the analysis of dipoles—pairs of opposite charges across which radiation flows—and making predictions based on the number, location and intensity of dipoles in a device.
However, these conventional methods can be impractical for analyzing EMI patterns as they can only be applied to a single output frequency.
To address this issue, a team led by Dr Richard Gao Xianke, a Senior Scientist at A*STAR’s Institute of High Performance Computing (IHPC), has developed a new mathematical model for predicting the origin of disruptive EMI.
Read the full article published on .
Traditionally, researchers rely on mathematical models of near-field radiation to gauge energy emanating at close range from a potential EMI source. These models enable the analysis of dipoles—pairs of opposite charges across which radiation flows—and making predictions based on the number, location and intensity of dipoles in a device.
However, these conventional methods can be impractical for analyzing EMI patterns as they can only be applied to a single output frequency.
To address this issue, a team led by Dr Richard Gao Xianke, a Senior Scientist at A*STAR’s Institute of High Performance Computing (IHPC), has developed a new mathematical model for predicting the origin of disruptive EMI.
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