Deep-learning based self-interference cancellation for full-duplex network
Elimination of self-interference in full duplex systems has always been a significant challenge due to the huge power differences between the interference and desired signals. Many traditional methods have been implemented to tackle this problem, however they struggle to effectively cancel out unwan...
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| Format: | Final Year Project |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/176187 |
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| Institution: | Nanyang Technological University |
| Language: | English |