Compression and acceleration of neural networks for communications

J Guo, J Wang, CK Wen, S Jin… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
DL has achieved great success in signal processing and communications and has become
a promising technology for future wireless communications. Existing works mainly focus on …

[引用][C] Compression and Acceleration of Neural Networks for Communications

J Guo, J Wang, CK Wen, S Jin, GY Li - IEEE Wireless Communications, 2020 - cir.nii.ac.jp
Compression and Acceleration of Neural Networks for Communications | CiNii Research
CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データを …

[PDF][PDF] Compression and Acceleration of Neural Networks for Communications

J Guo, J Wang, CK Wen, S Jin, GY Li - researchgate.net
Deep learning (DL) has achieved great success in signal processing and communications
and has become a promising technology for future wireless communications. Existing works …

Compression and Acceleration of Neural Networks for Communications

J Guo, J Wang, CK Wen, S Jin, GY Li - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
Deep learning (DL) has achieved great success in signal processing and communications
and has become a promising technology for future wireless communications. Existing works …

Compression and Acceleration of Neural Networks for Communications

J Guo, J Wang, CK Wen, S Jin, GY Li - arXiv preprint arXiv:1907.13269, 2019 - arxiv.org
Deep learning (DL) has achieved great success in signal processing and communications
and has become a promising technology for future wireless communications. Existing works …

[PDF][PDF] Compression and Acceleration of Neural Networks for Communications

J Guo, J Wang, CK Wen, S Jin, GY Li - researchgate.net
Deep learning (DL) has achieved great success in signal processing and communications
and has become a promising technology for future wireless communications. Existing works …

[PDF][PDF] Compression and Acceleration of Neural Networks for Communications

J Guo, J Wang, CK Wen, S Jin, GY Li - arxiv.org
Deep learning (DL) has achieved great success in signal processing and communications
and has become a promising technology for future wireless communications. Existing works …