Cargando…
Multi-Tone Harmonic Balance Optimization for High-Power Amplifiers through Coarse and Fine Models Based on X-Parameters
In this study, we focus on automated optimization design methodologies to concurrently trade off between power gain, output power, efficiency, and linearity specifications in radio frequency (RF) high-power amplifiers (HPAs) through deep neural networks (DNNs). The RF HPAs are highly nonlinear circu...
Autores principales: | Kouhalvandi, Lida, Ceylan, Osman, Ozoguz, Serdar, Matekovits, Ladislau |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185358/ https://www.ncbi.nlm.nih.gov/pubmed/35684927 http://dx.doi.org/10.3390/s22114305 |
Ejemplares similares
-
Amplifiers in Biomedical Engineering: A Review from Application Perspectives
por: Kouhalvandi, Lida, et al.
Publicado: (2023) -
A Literature Survey with the Focus on Magnetically Coupled Wireless Power Transfer Systems Developed for Engineering and Biomedical Applications
por: Kouhalvandi, Lida, et al.
Publicado: (2023) -
Deep neural learning based optimization for automated high performance antenna designs
por: Mir, Farzad, et al.
Publicado: (2022) -
Author Correction: Deep neural learning based optimization for automated high performance antenna designs
por: Mir, Farzad, et al.
Publicado: (2022) -
Directly Matching an MMIC Amplifier Integrated with MIMO Antenna through DNNs for Future Networks
por: Kouhalvandi, Lida
Publicado: (2022)