Robotics & Machine Learning Daily News2024,Issue(Jan.25) :54-55.

Guangdong University of Technology Details Findings in Networks (Receiver Design for Ici-csk System: a New Perspective Based On Gru Neural Network)

Robotics & Machine Learning Daily News2024,Issue(Jan.25) :54-55.

Guangdong University of Technology Details Findings in Networks (Receiver Design for Ici-csk System: a New Perspective Based On Gru Neural Network)

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Abstract

By a News Reporter-Staff News Editor at Network Daily News - Researchersdetail new data in Networks. According to news reporting out of Guangzhou, People’s Republic of China, byNewsRx editors, research stated, “In conventional chaotic communication schemes, the receivers mostly useenergy detection methods. However, due to the limitations of this detection method, the initial conditionindex chaos shift keying (CSK) scheme cannot work over the multipath Rayleigh fading channel.”Funders for this research include National Natural Science Foundation of China (NSFC), GuangdongBasic and Applied Basic Research Foundation, National Research Foundation, Singapore, Infocomm MediaDevelopment Authority under its Future Communications Research and Development Programme, InternationalCollaborative Research Program of Guangdong Science and Technology Department, IndustrialResearch and Development Project of Haoyang Electronic Company Ltd..

Key words

Guangzhou/People’s Republic of China/Asia/Networks/Neural Networks/Guangdong University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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