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Sparse Signal Recovery via Convex Optimization

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Date
2016
Author
Novosadová, Michaela
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Abstract
We propose recovering 1D piecewice linear signal using a sparsity-based method consisting of two steps. The first step is signal segmentation via optimization algorithms solving sparsity based model. Second step consists of applying an ordinary mean square method on each detected segment of the signal. We show results of our experiments on two types of the signal.
Keywords
convex optimization, Douglas-Rachford algorithm, Forward-Backward algorithm, signal recovery, signal segmentation
Persistent identifier
http://hdl.handle.net/11012/83955
Document type
Peer reviewed
Document version
Final PDF
Source
Proceedings of the 22nd Conference STUDENT EEICT 2016. s. 354-358. ISBN 978-80-214-5350-0
http://www.feec.vutbr.cz/EEICT/
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  • Student EEICT 2016 [183]
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