An AM-LSTM Based Behavioral Model of Nonlinear Power Amplifiers
Author:
Affiliation:
1. School of Info. and Com. Eng., University of Electronic Science &Technology of China,Chengdu,China
2. School of Electronics, Peking University,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10006415/10006419/10006482.pdf?arnumber=10006482
Reference15 articles.
1. Behavioral Modeling and Linearization of Wideband RF Power Amplifiers Using BiLSTM Networks for 5G Wireless Systems
2. LSTM-Deep Neural Networks based Predistortion Linearizer for High Power Amplifiers
3. Unsupervised extraction of visual attention objects in color images
4. Behavioral Modeling of GaN Power Amplifiers Using Long Short-Term Memory Networks
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1. Real-Valued Feedback Digital Predistortion Based on QR Decomposition Sample Selection;2023 IEEE 6th International Conference on Electronic Information and Communication Technology (ICEICT);2023-07-21
2. A Pruning Method of the Generalized Memory Polynomial Model for Power Amplifiers Based on the LASSO Regression;2023 IEEE 6th International Conference on Electronic Information and Communication Technology (ICEICT);2023-07-21
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