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...

Full description

Saved in:

Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 23; no. 21; p. 8790
Main Authors:	Subburaman, Bhuvaneshwari, Thangaraj, Vignesh, Balu, Vadivel, Pandyan, Uma Maheswari, Kulkarni, Jayshri
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 28.10.2023
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!