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| Paper: | SPTM-P2.3 |
| Session: | Sampling, Extrapolation, and Interpolation |
| Time: | Tuesday, May 18, 15:30 - 17:30 |
| Presentation: |
Poster |
| Topic: |
Signal Processing Theory and Methods: Sampling, Extrapolation, and Interpolation |
| Title: |
CAN TIMING JITTER IMPROVE RANDOM PROCESS RECONSTRUCTION IN PRESENCE OF ALIASING ? |
| Authors: |
Bernard Lacaze; IRIT - TéSA | | |
| | Corinne Mailhes; IRIT - TéSA | | |
| Abstract: |
In the case of uniform sampling, when the Nyquist condition is fulfilled, exact reconstruction of the time-continuous process can be achieved based on the observation of the samples. When the Nyquist condition is not fulfilled, the linear minimum mean square estimator (LMMSE) of the time-continuous process can be derived. In this paper, it is shown that in some cases, surprisingly, unobserved timing jitter can improve the quality of the LMMSE. |
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