Deep learning based signal detection for low signal-to-noise ratio system
For cognitive radios, it is quintessential for systems to accurately detect the presence of primary users’ (PU) signal in licensed spectrum, allowing secondary users (SU) to opportunistically utilize the idle spectrum. Traditional energy detection method is widely used due to its simplicity and effe...
Main Author: | Tang, Kirk Ji Wei |
---|---|
Other Authors: | Teh Kah Chan |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/163390 |
Similar Items
-
Machine learning for indoor positioning based on received signal strength
by: Felis Dwiyasa
Published: (2018) -
Deep learning techniques to derive descriptions from audio signals
by: Wu, Mengkai
Published: (2020) -
Deep learning in WiFi CSI-based human activity recognition
by: Li, Shuai
Published: (2022) -
A deep learning framework for object detection under rainy conditions
by: Tay, Nicholas Kwang Wei
Published: (2020) -
Explainable AI model for ECG signal assessment
by: Low, Stefanie Jing Ting
Published: (2023)