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MP-DPD: Low-Complexity Mixed-Precision Neural Networks for
  Energy-Efficient Digital Predistortion of Wideband Power Amplifiers

MP-DPD: Low-Complexity Mixed-Precision Neural Networks for Energy-Efficient Digital Predistortion of Wideband Power Amplifiers

18 April 2024
Yizhuo Wu
Ang Li
Mohammadreza Beikmirza
G. Singh
Qinyu Chen
Leo C. N. de Vreede
M. Alavi
Chang Gao
    MQ
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Papers citing "MP-DPD: Low-Complexity Mixed-Precision Neural Networks for Energy-Efficient Digital Predistortion of Wideband Power Amplifiers"

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
FedML
AAML
17
0
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
24
0
0
15 Oct 2024
1