Artificial Neural Network Modeling of a CMOS Differential Low-Noise Amplifier Using the Bayesian Regularization Algorithm

The purpose of this communication is to present the modeling of an Artificial Neural Network (ANN) for a differential Complementary Metal Oxide Semiconductor (CMOS) Low-Noise Amplifier (LNA) designed for wireless applications. For satellite transponder applications employing differential LNAs, vario...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 23; H. 21; S. 8790
Hauptverfasser:	Subburaman, Bhuvaneshwari, Thangaraj, Vignesh, Balu, Vadivel, Pandyan, Uma Maheswari, Kulkarni, Jayshri
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 28.10.2023
Schlagworte:	Algorithms ANN Bayesian regularization capacitor cross-coupling CMOS Complementary metal oxide semiconductors Design Designers differential cascode Earth stations Energy conservation gain boosting low-noise amplifier Neural networks Satellite communications Simulation methods Technology application Transistors Transponders Wireless telephone software
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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