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Deep Learning-Based Demodulation For Narrowband Communication Systems

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thesis
posted on 2025-03-12, 06:30 authored by KIM KIM CHIA
This thesis is about identifying and solving the problem of demodulation with deep learning, design deep learning architecture that is suitable for resource-limited devices, and optimisation of the deep learning model to enhance performance while keeping complexity low. Demodulation is process that translate received radio frequency signal into information bits. It can be understood as a multi-class time series classification task in the deep learning perspective.

History

Campus location

Malaysia

Principal supervisor

Vishnu Monn

Year of Award

2025

Department, School or Centre

School of Information Technology (Monash University Malaysia)

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Faculty

Faculty of Information Technology

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