Groebner basis methods for multichannel sampling with unknown offsets

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Groebner Basis Methods for Multichannel Sampling with Unknown Offsets

In multichannel sampling, several sets of sub-Nyquist sampled signal values are acquired. The offsets between the sets are unknown, and have to be resolved, just like the parameters of the signal itself. This problem is nonlinear in the offsets, but linear in the signal parameters. We show that when the basis functions for the signal space are related to polynomials, we can express the joint of...

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[1] Michael Clausen, Beiträge zum Entwurf schneller Spektraltransformationen, Habilitationsschrift, Universität Karlsruhe, 1998. [2] Torsten Minkwitz, Algorithmensynthese für lineare Systeme mit Symmetrie, Dissertation, Technische Hochschule, Universität Karlsruhe, 1993. [3] Luciano Sbaiz, Patrick Vandewalle, and Martin Vetterli, Groebner basis methods for multichannel sampling with unknown off...

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ژورنال

عنوان ژورنال: Applied and Computational Harmonic Analysis

سال: 2008

ISSN: 1063-5203

DOI: 10.1016/j.acha.2007.11.003