Zero-point attracting projection algorithm for sequential compressive sensing
Information Theory
2013-03-12 v1 math.IT
Abstract
Sequential Compressive Sensing, which may be widely used in sensing devices, is a popular topic of recent research. This paper proposes an online recovery algorithm for sparse approximation of sequential compressive sensing. Several techniques including warm start, fast iteration, and variable step size are adopted in the proposed algorithm to improve its online performance. Finally, numerical simulations demonstrate its better performance than the relative art.
Cite
@article{arxiv.1303.2251,
title = {Zero-point attracting projection algorithm for sequential compressive sensing},
author = {Yang You and Jian Jin and Wei Duan and Ningning Liu and Yuantao Gu and Jian Yang},
journal= {arXiv preprint arXiv:1303.2251},
year = {2013}
}
Comments
7 pages, 2 figures