Robotics & Machine Learning Daily News2024,Issue(Nov.29) :60-60.

Study Findings from University of Oulu Advance Knowledge in Machine Learning (Ma chine learning-based methods for piecewise digital predistortion in mmW 5G NR sy stems)

欧鲁大学的研究结果推进了机器学习的知识(基于Ma Chine Learning的MW 5G NR系统分段数字预失真方法)

Robotics & Machine Learning Daily News2024,Issue(Nov.29) :60-60.

Study Findings from University of Oulu Advance Knowledge in Machine Learning (Ma chine learning-based methods for piecewise digital predistortion in mmW 5G NR sy stems)

欧鲁大学的研究结果推进了机器学习的知识(基于Ma Chine Learning的MW 5G NR系统分段数字预失真方法)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员讨论人工智能的新发现。根据新闻报道NewsRx记者在奥卢大学发表的一项研究表明:“分段线性化技术需要UIRE将信号分成多个部分,每个部分单独线性化。这项研究的资助者包括芬兰研究委员会、乌尔大学。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news reportingfrom the University of Oulu by NewsRx journalists, research stated, “Piecewise linearization techniques require dividing the signal into multiple pieces each linearized individually.”Funders for this research include Research Council of Finland; University of Oul u.

Key words

University of Oulu/Cyborgs/Emerging Te chnologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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