Low-rank adaptation of deep learning-based receiver for cross-domain channel estimation

Low-rank adaptation of deep learning-based receiver for cross-domain channel estimation

This project presents a low-rank adaptive method for deep learning based receivers used in OFDM systems for channel estimation and signal detection. While traditional DL-based receivers perform well under complex channel conditions, they often require a substantial amount of labeled training d...

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書目詳細資料
主要作者:	Wang, Yilong
其他作者:	Teh Kah Chan
格式:	Thesis-Master by Coursework
語言:	English
出版:	Nanyang Technological University 2025
主題:	Engineering Low-rank backbone Deep learning Channel estimation OFDM
在線閱讀:	https://hdl.handle.net/10356/183554
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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