A Reduced-Complexity Doubly Orthogonal Matching Pursuit Algorithm for Power Amplifier Sparse Behavioral Modeling-Reference-Cited by-同舟云学术

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A Reduced-Complexity Doubly Orthogonal Matching Pursuit Algorithm for Power Amplifier Sparse Behavioral Modeling

Published:2019-01 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE Topical Conference on RF/Microwave Power Amplifiers for Radio and Wireless Applications (PAWR)
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Author:

Becerra Juan A.,Madero-Ayora Maria J.,Reina-Tosina Javier,Crespo-Cadenas Carlos,Garcia-Frias Javier,Arce Gonzalo

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8703182/8708714/08708723.pdf?arnumber=8708723

Cited by 6 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. Reducing the Computational Complexity of the Volterra Series Using Permutation/Product Maps;2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2024-08-06

2. Behavioral Modeling and Digital Predistortion for Power Amplifier Based on the Sparse Smooth Twin Support Vector Regression Method;IEEJ Transactions on Electrical and Electronic Engineering;2024-05-21

3. A Digital Predistortion Technique Based on Improved Sparse Least Squares Twin Support Vector Regression br;J ELECTRON INF TECHN;2023

4. Linear, Efficient Multi-Carrier Envelope Tracking Power Amplifiers with Frequency Hopping for Phased Arrays;MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM);2022-11-28

5. A General Order Reduction Method of Wideband Digital Predistortion Model Using Attention Mechanism;Wireless Communications and Mobile Computing;2021-11-05

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