Deep learning for communication signal classification
The ability to differentiate between different radio signals is important when using communication signals. This is achieved with modulation classification. In this study, the use of two deep learning approaches, the convolutional neural network and the gated recurrent unit for modulation class...
Saved in:
Main Author: | Lim, Wycliff Wei Zhi |
---|---|
Other Authors: | Alex Chichung Kot |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/157988 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Deep learning for communication signal classification – part A
by: Wang, Chien Wei
Published: (2023) -
Deep learning for communication signal classification - part II
by: Lew, Mei Tong
Published: (2023) -
Deep learning for communication signal classification - part B
by: Chua, Randal Wei Bin
Published: (2022) -
Fish classification and deep learning
by: Zhang, Dawei
Published: (2023) -
Deep learning algorithms for classification of financial time series data
by: Lim, Kai Wei
Published: (2020)