| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4605144 | Applied and Computational Harmonic Analysis | 2013 | 9 Pages |
Abstract
We consider the problem of spatiotemporal sampling in which an initial state of an evolution process is to be recovered from a set of samples at different time levels. We are particularly interested in lossless trade-off between spatial and temporal samples. We show that for a special class of signals it is possible to recover the initial state using a reduced number of measuring devices activated more frequently. We present several algorithms for this kind of recovery and describe their robustness to noise.
Related Topics
Physical Sciences and Engineering
Mathematics
Analysis
