<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Dictionary Design for Distributed Compressive Sensing

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jan 2015 United Kingdom Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Signal Processing Letters, volume 22, pages 95-99 (issn: 1070-9908, eissn: 1558-2361,

Authors: Chen, W; Wassell, IJ; Rodrigues, MRD;

doi: 10.1109/lsp.2014.2350024

Dictionary Design for Distributed Compressive Sensing

- Summary
- Subjects
- Metrics

Abstract

This work is supported by EPSRC Research Grant EP/K033700/1 and EP/K033166/1, the Fundamental Research Funds for the Central Universities (No. 2014JBM149), the State Key Laboratory of Rail Traffic Control and Safety (RCS2012ZT014) of Beijing Jiaotong University, the Natural Science Foundation of China (U1334202), the Key Grant Project of Chinese Ministry of Education (313006).

Country

United Kingdom

Related Organizations

University College London
United Kingdom
University of Cambridge
United Kingdom
Beijing Jiaotong University
China (People's Republic of)

Keywords

distributed compressive sensing, Compressive sensing, dictionary learning

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	23
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%