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

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Date

2010

Authors

Craven, Leon
Nagy, Oliver
Hanlen, Leif

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

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.

Description

Keywords

Citation

URI

http://hdl.handle.net/1885/61506

Collections

Open Access Research

Source

Proceedings of the Australian Communications Theory Workshop (AusCTW 2010)

Type

Conference paper

Book Title

Entity type

Access Statement

License Rights

DOI

10.1109/AUSCTW.2010.5426774

Restricted until

2037-12-31

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Description
01_Craven_Sparsity_enhancing_window_2010.pdf (253.69 KB)

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