Generalized Sampling and Infinite Dimensional Compressed Sensing
Event details
| Date | 22.06.2011 |
| Hour | 15:15 |
| Speaker | Prof. Anders Christian Hansen, University of Cambridge |
| Location | |
| Category | Conferences - Seminars |
I will discuss a generalization of the Shannon Sampling Theorem that allows for reconstruction of signals in arbitrary bases. Not only can one reconstruct in arbitrary bases, but this can also be done in a completely stable way. When extra information is available, such as sparsity or compressibility of the signal in a particular bases, one may reduce the number of samples dramatically. This is done via Compressed Sensing techniques, however, the usual finite-dimensional framework is not sufficient. To overcome this obstacle I'll introduce the concept of Infinite Dimensional Compressed Sensing. Prof. Hansen's homepage
Practical information
- General public
- Free