Improving Data-Driven RF Signal Separation with SOI-Matched Autoencoders
Author:
Affiliation:
1. Fraunhofer FKIE,Wachtberg,Germany,53343
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10625769/10625780/10626245.pdf?arnumber=10626245
Reference5 articles.
1. Three More Decades in Array Signal Processing Research: An optimization and structure exploitation perspective
2. JaX: Detecting and Cancelling High-power Jammers Using Convolutional Neural Network
3. On Neural Architectures for Deep Learning-Based Source Separation of Co-Channel OFDM Signals
4. The Data-Driven Radio Frequency Signal Separation Challenge;Jayashankar
5. WaveNet: A Generative Model for Raw Audio;van den Oord,2016
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. The Data-Driven Radio Frequency Signal Separation Challenge;2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2024-04-14
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