FPGA-implementation of dynamic time delay neural network for power amplifier behavioral modeling

Analog Integrated Circuits and Signal Processing ◽

10.1007/s10470-012-9857-0 ◽

2012 ◽

Vol 73 (3) ◽

pp. 819-828 ◽

Author(s):

Mohammed Bahoura ◽

Chan-Wang Park

Keyword(s):

Neural Network ◽

Power Amplifier ◽

Fpga Implementation ◽

Behavioral Modeling ◽

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FPGA implementation of high-speed neural network for power amplifier behavioral modeling

Analog Integrated Circuits and Signal Processing ◽

10.1007/s10470-014-0263-7 ◽

2014 ◽

Vol 79 (3) ◽

pp. 507-527 ◽

Author(s):

Mohammed Bahoura

Keyword(s):

Neural Network ◽

Power Amplifier ◽

Fpga Implementation ◽

Behavioral Modeling

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Iteration Process Analysis of Real-Valued Time-Delay Neural Network with Different Activation Functions for Power Amplifier Behavioral Modeling

2019 IEEE International Symposium on Radio-Frequency Integration Technology (RFIT) ◽

10.1109/rfit.2019.8929142 ◽

2019 ◽

Author(s):

Hang Yin ◽

Jialin Cai ◽

Chao Yu

Keyword(s):

Neural Network ◽

Power Amplifier ◽

Process Analysis ◽

Iteration Process ◽

Behavioral Modeling ◽

Activation Functions

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Multi-band behavioral modeling of power amplifier using carrier frequency-dependent time delay neural network model

2017 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications (NEMO) ◽

10.1109/nemo.2017.7964194 ◽

2017 ◽

Author(s):

Zhihao Zhao ◽

Weicong Na ◽

Venu-Madhav-Reddy Gongal-Reddy ◽

Qijun Zhang

Keyword(s):

Neural Network ◽

Power Amplifier ◽

Network Model ◽

Neural Network Model ◽

Carrier Frequency ◽

Behavioral Modeling ◽

Frequency Dependent ◽

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Deep Neural Network Behavioral Modeling Based on Transfer Learning for Broadband Wireless Power Amplifier

IEEE Microwave and Wireless Components Letters ◽

10.1109/lmwc.2021.3078459 ◽

2021 ◽

pp. 1-1

Author(s):

Sun Zhang ◽

Xin Hu ◽

Zhijun Liu ◽

Linlin Sun ◽

Kang Han ◽

...

Keyword(s):

Neural Network ◽

Transfer Learning ◽

Power Amplifier ◽

Deep Neural Network ◽

Behavioral Modeling ◽

Wireless Power ◽

Broadband Wireless

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A Dynamic Time Delay Neural Network for Ultrasonic Motor Identification and Control

Advances in Neural Networks - ISNN 2006 - Lecture Notes in Computer Science ◽

10.1007/11760023_159 ◽

2006 ◽

pp. 1084-1089

Author(s):

Yanchun Liang ◽

Jie Zhang ◽

Xu Xu ◽

Xiaowei Yang ◽

Zhifeng Hao

Keyword(s):

Neural Network ◽

Ultrasonic Motor ◽

Dynamic Time ◽

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Behavioral modeling by Volterra series and time-delay neural network approach

12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL) ◽

10.1109/neurel.2014.7011456 ◽

2014 ◽

Author(s):

Jelena Misic ◽

Vera Markovic ◽

Zlatica Marinkovic

Keyword(s):

Neural Network ◽

Volterra Series ◽

Behavioral Modeling ◽

Network Approach ◽

Neural Network Approach

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Recurrent neural network technique for behavioral modeling of power amplifier with memory effects

International Journal of RF and Microwave Computer-Aided Engineering ◽

10.1002/mmce.20861 ◽

2014 ◽

Vol 25 (4) ◽

pp. 289-298 ◽

Author(s):

Shuxia Yan ◽

Chuan Zhang ◽

Qi-Jun Zhang

Keyword(s):

Neural Network ◽

Power Amplifier ◽

Recurrent Neural Network ◽

Memory Effects ◽

Behavioral Modeling ◽

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Augmented Time-Delay Twin Support Vector Regression-Based Behavioral Modeling for Digital Predistortion of RF Power Amplifier

IEEE Access ◽

10.1109/access.2019.2915281 ◽

2019 ◽

Vol 7 ◽

pp. 59832-59843 ◽

Author(s):

Jin Xu ◽

Weiliang Jiang ◽

Linhua Ma ◽

Mingyu Li ◽

Zhiqiang Yu ◽

...

Keyword(s):

Support Vector Regression ◽

Power Amplifier ◽

Behavioral Modeling ◽

Support Vector ◽

Digital Predistortion ◽

Rf Power ◽

Twin Support Vector Regression ◽

Rf Power Amplifier

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FPGA-implementation of pipelined neural network for power amplifier modeling

10th IEEE International NEWCAS Conference ◽

10.1109/newcas.2012.6328968 ◽

2012 ◽

Author(s):

Roger Sandrin Ntoune Ntoune ◽

Mohammed Bahoura ◽

Chan-Wang Park

Keyword(s):

Neural Network ◽

Power Amplifier ◽

Fpga Implementation

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A novel convolutional neural network based approach to predictions of process dynamic time delay sequences

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2018.01.012 ◽

2018 ◽

Vol 174 ◽

pp. 56-61 ◽

Author(s):

Bo Yang ◽

Hongguang Li

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Process Dynamic ◽

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