| Proj No. | A3185-251 |
| Title | Techniques for robust filter learning in graph signal processing |
| Summary | Graph signal processing uses the underlying graph topology to define a graph shift operator, which in turn forms the basis for the family of graph convolutional filters. However, the graph topology may not be observable or may be noisy. In this project, we study the impact of uncertainties in the graph topology on filter performance and methods for robust graph and filter learning. |
| Supervisor | Prof Tay Wee Peng (Loc:S1 > S1 B1A > S1 B1A 01, Ext: +65 67906280) |
| Co-Supervisor | - |
| RI Co-Supervisor | - |
| Lab | Information System Research Lab (Loc: S2-B3a-06) |
| Single/Group: | Single |
| Area: | Digital Media Processing and Computer Engineering |
| ISP/RI/SMP/SCP?: |