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

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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Bibliographic Details
Main Authors: Bhuvaneshwari Subburaman, Vignesh Thangaraj, Vadivel Balu, Uma Maheswari Pandyan, Jayshri Kulkarni
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Sensors
Subjects:
gain boosting
differential cascode
capacitor cross-coupling
low-noise amplifier
ANN
Bayesian regularization
Online Access:https://www.mdpi.com/1424-8220/23/21/8790

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