Reliable comparison for power amplifiers nonlinear behavioral modeling based on regression trees and random forest-Reference-Cited by-同舟云学术

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Reliable comparison for power amplifiers nonlinear behavioral modeling based on regression trees and random forest

Published:2022-05-28 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Symposium on Circuits and Systems (ISCAS)
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Author:

Aguila-Torres Daniel Santiago¹,Galaviz-Aguilar Jose Alejandro²,Cardenas-Valdez Jose Ricardo¹

Affiliation:

1. Tecnologico Nacional de Mexico IT de Tijuana,Tijuana,Mexico

2. School of Engineering and Sciences Tecnologico de Monterrey,Monterrey,Mexico

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9937201/9937203/09937863.pdf?arnumber=9937863

Reference13 articles.

1. Comparative analysis of power amplifiers' polynomial based models identification using RLS algorithm

2. Low-Complexity Power Amplifier Model Driven Wireless Emitter Identification Using Random Forest

3. Mixture of Experts Approach for Piecewise Modeling and Linearization of RF Power Amplifiers;brihuega;IEEE Transactions on Microwave Theory and Techniques,2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparative analysis of nonlinear behavioral models for GaN HEMTs based on machine learning techniques;International Journal of Numerical Modelling: Electronic Networks, Devices and Fields;2023-09-29

2. A Comparison of Surrogate Behavioral Models for Power Amplifier Linearization under High Sparse Data;Sensors;2022-10-01

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