Hitachi, Ltd.

Jia Li

Heming Chen

Yuan Xiao

Tianye Ma

In some examples, a system may receive a plurality of parameters for a filter design, including a noise parameter. The system may determine a plurality of candidate filter configurations based on at least one of the received parameters. The system may further determine, for each candidate filter configuration of the plurality of candidate filter configurations, based on a trained machine learning model, an estimated electromagnetic interference (EMI) noise associated with each candidate filter configuration. The system may select at least one of the candidate filter configurations based on the estimated EMI noise. In some cases, the system may perform a simulation using the selected candidate filter configuration. Based on the results of the selecting and/or the simulation, the system may send information related to the at least one selected candidate filter configuration to a computing device.

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Novi, MI, United States of America

Jia Li