| Paper: | SPTM-P4.3 | ||
| Session: | Sampling, Extrapolation and Interpolation I | ||
| Time: | Wednesday, May 17, 10:00 - 12:00 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing Theory and Methods: Sampling, Extrapolation, and Interpolation | ||
| Title: | Sampled Signal Reconstruction via H² Optimization | ||
| Authors: | Gjerrit Meinsma, University of Twente, Israel; Leonid Mirkin, Technion - Israel Institute of Technology, Israel | ||
| Abstract: | In this paper the sampled signal reconstruction problem is formulated and solved as the sampled-data H² smoothing problem, in which an analog reconstruction error is minimized. Both infinite (non-causal reconstructor) and finite (reconstructor with relaxed causality) preview cases are considered. The optimal reconstructors are in the form of the cascade of a discrete-time smoother and a generalized hold (interpolator). In the particular case of reconstructing polynomial signals with infinite preview, the proposed procedure recovers the cardinal B-spline reconstructors. | ||
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