| Proj No. | A3046-251 |
| Title | Integrating machine learning techniques to block error-correcting codes for communication systems |
| Summary | In most communication systems, when transmitting or receiving a signal, some unwanted signals, such as channel noise or interference may get introduced into the communications, making the quality of the communication poor. This disturbance can affect the reliability and quality of a digital communication system by corrupting or getting a message scrambled whenever it is transmitted. To prevent these errors, error-correction codes help detect and correct these errors arising during data transmission within digital communication systems. In this project, we will study methods of integrating advanced machine learning techniques, particularly artificial neural networks, to enhance the effectiveness and adaptability of block error-correcting codes in diverse and dynamically changing communication environments. Student who has taken subject in machine learning or 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?: |