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

Mohammed Bahoura

doi:10.1007/s10470-014-0263-7

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 ◽

Cited By ~ 4

Author(s):

Mohammed Bahoura

Keyword(s):

Neural Network ◽

Power Amplifier ◽

High Speed ◽

Fpga Implementation ◽

Behavioral Modeling

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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 ◽

Cited By ~ 4

Author(s):

Mohammed Bahoura ◽

Chan-Wang Park

Keyword(s):

Neural Network ◽

Time Delay ◽

Power Amplifier ◽

Fpga Implementation ◽

Behavioral Modeling ◽

Dynamic Time

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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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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 ◽

Cited By ~ 10

Author(s):

Shuxia Yan ◽

Chuan Zhang ◽

Qi-Jun Zhang

Keyword(s):

Neural Network ◽

Power Amplifier ◽

Recurrent Neural Network ◽

Memory Effects ◽

Behavioral Modeling ◽

With Memory

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Fixed-Point Analysis and FPGA Implementation of Deep Neural Network Based Equalizers for High-Speed PON

Journal of Lightwave Technology ◽

10.1109/jlt.2021.3133723 ◽

2021 ◽

pp. 1-1

Author(s):

Noriaki Kaneda ◽

Chun-Yen Chuang ◽

Ziyi Zhu ◽

Amitkumar Mahadevan ◽

Bob Farah ◽

...

Keyword(s):

Neural Network ◽

Fixed Point ◽

High Speed ◽

Deep Neural Network ◽

Fpga Implementation ◽

Point Analysis

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FPGA Implementation of Deep Neural Network Based Equalizers for High-Speed PON

Optical Fiber Communication Conference (OFC) 2020 ◽

10.1364/ofc.2020.t4d.2 ◽

2020 ◽

Author(s):

Noriaki Kaneda ◽

Ziyi Zhu ◽

Chun-Yen Chuang ◽

Amitkumar Mahadevan ◽

Bob Farah ◽

...

Keyword(s):

Neural Network ◽

High Speed ◽

Deep Neural Network ◽

Fpga Implementation

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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 ◽

Time Delay ◽

Power Amplifier ◽

Process Analysis ◽

Iteration Process ◽

Behavioral Modeling ◽

Activation Functions

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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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Measure-based modeling and FPGA implementation of RF Power Amplifier using a multi-layer perceptron neural network

2014 International Conference on Electronics, Communications and Computers (CONIELECOMP) ◽

10.1109/conielecomp.2014.6808597 ◽

2014 ◽

Cited By ~ 1

Author(s):

J. C. Nunez-Perez ◽

J. R. Cardenas-Valdez ◽

J. A. Galaviz Aguilar ◽

C. Gontrand ◽

B. Goral ◽

...

Keyword(s):

Neural Network ◽

Power Amplifier ◽

Fpga Implementation ◽

Multi Layer Perceptron ◽

Rf Power ◽

Rf Power Amplifier

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RF Power Amplifier Behavioral Modeling using a Globally Recurrent Neural Network

2006 IEEE MTT-S International Microwave Symposium Digest ◽

10.1109/mwsym.2006.249952 ◽

2006 ◽

Cited By ~ 16

Author(s):

Bill O'Brien ◽

John Dooley ◽

Thomas Brazil

Keyword(s):

Neural Network ◽

Power Amplifier ◽

Recurrent Neural Network ◽

Behavioral Modeling ◽

Rf Power ◽

Rf Power Amplifier

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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 ◽

Cited By ~ 1

Author(s):

Zhihao Zhao ◽

Weicong Na ◽

Venu-Madhav-Reddy Gongal-Reddy ◽

Qijun Zhang

Keyword(s):

Neural Network ◽

Time Delay ◽

Power Amplifier ◽

Network Model ◽

Neural Network Model ◽

Carrier Frequency ◽

Behavioral Modeling ◽

Frequency Dependent ◽

Multi Band

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