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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Detalles Bibliográficos
Autores principales: Subburaman, Bhuvaneshwari, Thangaraj, Vignesh, Balu, Vadivel, Pandyan, Uma Maheswari, Kulkarni, Jayshri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647308/
https://www.ncbi.nlm.nih.gov/pubmed/37960488
http://dx.doi.org/10.3390/s23218790

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647308/
https://www.ncbi.nlm.nih.gov/pubmed/37960488
http://dx.doi.org/10.3390/s23218790

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