@inproceedings{Zhaofu2014,
abstract = {In this paper we consider the problem of recovering temporally smooth or correlated sparse signals from a set of undersampled measurements. We propose two algorithmic solutions that exploit the signal temporal properties to improve the reconstruction accuracy. The effectiveness of the proposed algorithms is corroborated with experimental results.},
author = {Chen, Zhaofu and Molina, Rafael and Katsaggelos, Aggelos K.},
booktitle = {European Signal Processing Conference},
isbn = {9780992862619},
issn = {22195491},
keywords = {Sparse signal recovery,convex relaxation method,greedy algorithm,multiple measurement},
pages = {451--455},
title = {{Recovery of correlated sparse signals from under-sampled measurements}},
year = {2014}
}

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