Physically Inspired Predistortion of RF Power Amplifiers with Artificial Neural Networks

Mobile communication is rapidly growing. Increasing demands on capacity and bandwidth have to be addressed by future developments. This means higher signal requirements and bandwidth for transceivers in mobile basestations. Transceivers are the component with highest power consumption in a basestati...

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Autore principale:	Jüschke, Patrick
Natura:	Online
Lingua:	inglese
Pubblicazione:	FAU University Press 2025
Soggetti:	Leistungsverstärker Maschinelles Lernen Hochfrequenztechnik Digitale Vorverzerrung Künstliche Intelligenz thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications::TJKH Signal processing thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications::TJKR Radio technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications::TJKW WAP (wireless) technology thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTW WAP networking and applications
Accesso online:	ONIX_20251215T160010_9783961476589_29
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