About and citation¶
Experimental setup¶

Authors and citation¶
If you find this repository helpful, please cite our work:
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@INPROCEEDINGS{Wu2024ISCAS, author={Wu, Yizhuo and Singh, Gagan Deep and Beikmirza, Mohammadreza and de Vreede, Leo C. N. and Alavi, Morteza and Gao, Chang}, booktitle={2024 IEEE International Symposium on Circuits and Systems (ISCAS)}, title={OpenDPD: An Open-Source End-to-End Learning & Benchmarking Framework for Wideband Power Amplifier Modeling and Digital Pre-Distortion}, year={2024}, volume={}, number={}, pages={1-5}, keywords={Codes;Transmitters;OFDM;Power amplifiers;Artificial neural networks;Documentation;Benchmark testing;digital pre-distortion;behavioral modeling;deep neural network;power amplifier;digital transmitter}, doi={10.1109/ISCAS58744.2024.10558162}} -
[IMS/MWTL 2024] MP-DPD: Low-Complexity Mixed-Precision Neural Networks for Energy-Efficient Digital Pre-distortion of Wideband Power Amplifiers
@ARTICLE{Wu2024IMS, author={Wu, Yizhuo and Li, Ang and Beikmirza, Mohammadreza and Singh, Gagan Deep and Chen, Qinyu and de Vreede, Leo C. N. and Alavi, Morteza and Gao, Chang}, journal={IEEE Microwave and Wireless Technology Letters}, title={MP-DPD: Low-Complexity Mixed-Precision Neural Networks for Energy-Efficient Digital Predistortion of Wideband Power Amplifiers}, year={2024}, volume={}, number={}, pages={1-4}, keywords={Deep neural network (DNN);digital predistortion (DPD);digital transmitter (DTX);power amplifier (PA);quantization}, doi={10.1109/LMWT.2024.3386330}} -
[IMS/MWTL 2025] DeltaDPD: Exploiting Dynamic Temporal Sparsity in Recurrent Neural Networks for Energy-Efficient Wideband Digital Predistortion
@article{Wu2025MWTL, title={DeltaDPD: Exploiting Dynamic Temporal Sparsity in Recurrent Neural Networks for Energy-Efficient Wideband Digital Predistortion}, ISSN={2771-957X}, url={http://dx.doi.org/10.1109/LMWT.2025.3565004}, DOI={10.1109/lmwt.2025.3565004}, journal={IEEE Microwave and Wireless Technology Letters}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Wu, Yizhuo and Zhu, Yi and Qian, Kun and Chen, Qinyu and Zhu, Anding and Gajadharsing, John and de Vreede, Leo C. N. and Gao, Chang}, year={2025}, pages={1–4} }
Contributors¶
- Chang Gao - Project Lead
- Yizhuo Wu - Core Developer
- Ang Li - Core Developer
- Huanqiang Duan - Contributor
- Ruishen Yang - Contributor
- Qian Wu (qian.wu@ucdconnect.ie) - Contributor