Performance Prediction of Power Amplifiers for the Extended Bandwidth via Neural Networks-Reference-Cited by-同舟云学术

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Performance Prediction of Power Amplifiers for the Extended Bandwidth via Neural Networks

Published:2023-07-05 Issue: Volume: Page:
ISSN:
Container-title:2023 31st Signal Processing and Communications Applications Conference (SIU)
language:
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Author:

Kouhalvandi Lida¹,Ozoguz Serdar²,Guerrieri Simona Donati³

Affiliation:

1. Dogus University,Department of Electrical and Electronics Engineering,Istanbul,Turkey

2. Istanbul Technical University,Department of Electronics and Communication Engineering,Istanbul,Turkey

3. Politecnico di Torino,Department of Electronics and Telecommunications,Turin,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10223723/10223734/10224038.pdf?arnumber=10224038

Reference24 articles.

1. A Broadband PA Design Based on Bayesian Optimization Augmented by Dynamic Feasible Region Shrinkage

2. Deep Learning-Based Joint Optimization of Modulation and Power for Nonlinearity-Constrained System

3. A Broadband Asymmetric Doherty Power Amplifier Design Based on Multiobjective Bayesian Optimization: Theoretical and Experimental Validation

4. Advanced Neural Network Techniques for GaN-HEMT Dynamic Behavior Characterization

5. Design of a 50-W Power Amplifier With Two- Octave Bandwidth and High-Efficiency Using a Systematic Optimization Approach

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