| 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. | ||
| Back | |||
Home -||-
Organizing Committee -||-
Technical Committee -||-
Technical Program -||-
Plenaries
Paper Submission -||-
Special Sessions -||-
ITT -||-
Paper Review -||-
Exhibits -||-
Tutorials
Information -||-
Registration -||-
Travel Insurance -||-
Housing -||-
Workshops