Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation

RT-FOCUSS Algorithm for Sparse Recovery in Fully-perturbed Linear Model

Authors
Xuebing Han, Zhaojun Jiang
Corresponding Author
Xuebing Han
Available Online April 2015.
DOI
https://doi.org/10.2991/icmra-15.2015.112How to use a DOI?
Keywords
underdetermined system; fully-perturbed linear model; sparse recovery; RT-FOUCSS
Abstract
In this paper, an improved and regularized algorithm is proposed to solve the sparse recovery problem in “fully-perturbed” model, which means perturbations present both in measurements and dictionary matrix. The paper shows how the regularized algorithm is derived based on TLS (total least-squares) and FOCUSS (FOCal Underdetermined System Solver) methods. In the end, simulations illustrate the advantages of the new algorithm.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
3rd International Conference on Mechatronics, Robotics and Automation
Part of series
Advances in Computer Science Research
Publication Date
April 2015
ISBN
978-94-62520-76-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmra-15.2015.112How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xuebing Han
AU  - Zhaojun Jiang
PY  - 2015/04
DA  - 2015/04
TI  - RT-FOCUSS Algorithm for Sparse Recovery in Fully-perturbed Linear Model
BT  - 3rd International Conference on Mechatronics, Robotics and Automation
PB  - Atlantis Press
SP  - 573
EP  - 576
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmra-15.2015.112
DO  - https://doi.org/10.2991/icmra-15.2015.112
ID  - Han2015/04
ER  -