Deep learning-based receiver for orthogonal frequency-division multiplexing (OFDM) system

In this dissertation, we build a deep learning (DL)-based orthogonal frequency division multiplexing (OFDM) receiver. This receiver replaces the traditional two processes, channel estimation and signal detection with one network deployment process, which can reduce the system complexity. DL method,...

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Bibliographic Details
Main Author: Guo, Tianci
Other Authors: Teh Kah Chan
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/163217
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Institution: Nanyang Technological University
Language: English
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