Abstract
In this paper we study the (classical) problem of reconstructing a continuous-time signal from its samples. We adopt a system-theoretical viewpoint of this problem. Namely, we assume that the continuous-time signal is modeled as the output of a linear time-invariant system and then formulate the reconstruction problem as the (either $L^2$ or $L^\infty$) optimal model-matching problem in the lifted domain. This leads to an alternative proof of the celebrated Sampling Theorem and some interesting extensions.
Original language | Undefined |
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Title of host publication | Proceedings of the 17th International Symposium on Mathematical Theory of Networks and Systems |
Place of Publication | Kyoto |
Publisher | Elsevier |
Pages | 730-741 |
Number of pages | 12 |
ISBN (Print) | not assigned |
Publication status | Published - Jul 2006 |
Event | 17th International Symposium on Mathematical Theory of Networks and Systems, MTNS 2006 - Kyoto, Japan Duration: 24 Jul 2006 → 28 Jul 2006 Conference number: 17 |
Publication series
Name | Proceedings of the International Symposium on Mathematical Theory of Networks and Systems |
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Number | supplement |
Volume | 17 |
Conference
Conference | 17th International Symposium on Mathematical Theory of Networks and Systems, MTNS 2006 |
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Abbreviated title | MTNS |
Country/Territory | Japan |
City | Kyoto |
Period | 24/07/06 → 28/07/06 |
Keywords
- EWI-8185
- IR-66616
- METIS-237624