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Sparsity enhancing window functions for analogue-to-information conversion with compressed sensing

Craven, Leon; Nagy, Oliver; Hanlen, Leif


We show that data reconstruction with analogue-to-information converters can generally be improved by applying a window function. For data recovery via compressed sensing, the choice of window function depends on the number of samples acquired, and any window is better than no window. We also demonstrate that windows can be applied a posteriori in random sampling analogue-to- information converter systems.

CollectionsANU Research Publications
Date published: 2010
Type: Conference paper
Source: Proceedings of the Australian Communications Theory Workshop (AusCTW 2010)
DOI: 10.1109/AUSCTW.2010.5426774


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