RF-Diffusion: Radio Signal Generation via Time-Frequency Diffusion-Reference-Cited by-同舟云学术

RF-Diffusion: Radio Signal Generation via Time-Frequency Diffusion

Published:2024-05-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th Annual International Conference on Mobile Computing and Networking
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Author:

Chi Guoxuan¹^ORCID,Yang Zheng¹^ORCID,Wu Chenshu²^ORCID,Xu Jingao¹^ORCID,Gao Yuchong³^ORCID,Liu Yunhao⁴^ORCID,Han Tony Xiao⁵^ORCID

Affiliation:

1. School of Software and BNRist, Tsinghua University, Beijing, China

2. Department of Computer Science, The University of Hong Kong, Hong Kong, China

3. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China

4. Department of Automation and Global Innovation Exchange, Tsinghua University, Beijing, China

5. Huawei Technologies Co., Ltd, Shenzhen, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3636534.3649348

Reference78 articles.

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3. Structured denoising diffusion models in discrete state-spaces;Austin Jacob;Advances in Neural Information Processing Systems,2021

4. Shekoofeh Azizi, Simon Kornblith, Chitwan Saharia, Mohammad Norouzi, and David J Fleet. 2023. Synthetic data from diffusion models improves imagenet classification. arXiv preprint arXiv:2304.08466 (2023).

5. Fast and Efficient Cross Band Channel Prediction Using Machine Learning

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