Robotics & Machine Learning Daily News2024,Issue(Jan.25) :53-54.

New Findings from Tsinghua University Describe Advances in Engineering (1-d Multi-channel Cnn With Transfer Functions for Inverse Electromagnetic Behaviors Modeling and Design Optimization of High-dimensional Filters)

Robotics & Machine Learning Daily News2024,Issue(Jan.25) :53-54.

New Findings from Tsinghua University Describe Advances in Engineering (1-d Multi-channel Cnn With Transfer Functions for Inverse Electromagnetic Behaviors Modeling and Design Optimization of High-dimensional Filters)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Network Daily News - Investigatorspublish new report on Engineering. According to news reporting originating in Beijing, People’s Republicof China, by NewsRx journalists, research stated, “As an essential passive component in modern wirelesscommunication systems, the design of high-frequency filters has become increasingly crucial. To achievethe target behavior specifications, traditional design methods are constrained by designers’ expertise orreliant on repetitive frequency sweeps using commercial software.”

Key words

Beijing/People’s Republic of China/Asia/Engineering/Electromagnet/Electronics/Networks/Neural Networks/Tsinghua University

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文