Sampled signal reconstruction via H2 optimization

Meinsma, Gjerrit and Mirkin, Leonid (2006) Sampled signal reconstruction via H2 optimization. In: IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006, 14-19 May 2006, Toulouse, France.

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Abstract:	In this paper the sampled signal reconstruction problem is formulated and solved as the sampled-data H2 smoothing problem. 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.
Item Type:	Conference or Workshop Item
Copyright:	© 2006 IEEE
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Mathematical Systems and Control Theory (MSCT)
Link to this item:	http://purl.utwente.nl/publications/66617
Official URL:	http://dx.doi.org/10.1109/ICASSP.2006.1660666
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