| Proj No. | A3047-251 |
| Title | Deep Learning Aided Method for Automatic Modulation Recognition |
| Summary | Automatic modulation recognition (AMR) refers to a method to identify the types of modulation signal scheme efficiently and accurately under the condition of insufficient or lack of prior information. When analyzing the received unknown signal, it is necessary to recognize the modulation type of target signal in various applications. In this project, we will study a Deep Learning (DL) Feature-based (FB) method to classify different types of modulation signals. We will use the data generated by Matlab simulation as the input for training in convolution neural networks (CNN) and recurrent neural networks (RNN). Student who has taken subjects in machine learning and artificial intelligent and good in mathematics is preferred. |
| Supervisor | A/P Erry Gunawan (Loc:S1 > S1 B1C > S1 B1C 80, Ext: +65 67905392) |
| Co-Supervisor | - |
| RI Co-Supervisor | - |
| Lab | Communication Research II (Loc: S2-B3c-26) |
| Single/Group: | Single |
| Area: | Wireless and Communications Engineering |
| ISP/RI/SMP/SCP?: |