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OpenDPD: An Open-Source End-to-End Learning & Benchmarking Framework for
  Wideband Power Amplifier Modeling and Digital Pre-Distortion
v1v2 (latest)

OpenDPD: An Open-Source End-to-End Learning & Benchmarking Framework for Wideband Power Amplifier Modeling and Digital Pre-Distortion

16 January 2024
Yizhuo Wu
G. Singh
Mohammadreza Beikmirza
Leo C. N. de Vreede
M. Alavi
Chang Gao
ArXiv (abs)PDFHTMLGithub (71★)

Papers citing "OpenDPD: An Open-Source End-to-End Learning & Benchmarking Framework for Wideband Power Amplifier Modeling and Digital Pre-Distortion"

2 / 2 papers shown
Title
Random Client Selection on Contrastive Federated Learning for Tabular Data
Random Client Selection on Contrastive Federated Learning for Tabular Data
Achmad Ginanjar
Xue Li
Priyanka Singh
Wen Hua
FedMLAAML
102
1
0
16 May 2025
DPD-NeuralEngine: A 22-nm 6.6-TOPS/W/mm$^2$ Recurrent Neural Network Accelerator for Wideband Power Amplifier Digital Pre-Distortion
DPD-NeuralEngine: A 22-nm 6.6-TOPS/W/mm2^22 Recurrent Neural Network Accelerator for Wideband Power Amplifier Digital Pre-Distortion
Ang Li
Haolin Wu
Yizhuo Wu
Qinyu Chen
Leo C. N. de Vreede
Chang Gao
127
2
0
15 Oct 2024
1