Distributed compressive sensing: Performance analysis with diverse signal ensembles

descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Preprint 01 Aug 2017Embargo end date: 01 Jan 2016Publisher:IEEEJournal:2017 25th European Signal Processing Conference (EUSIPCO)

Authors: Sung-Hsien Hsieh; Wei-Jie Liang; Chun-Shien Lu; Soo-Chang Pei;

doi: 10.23919/eusipco.2017.8081423 , 10.1109/tsp.2020.2985593 , 10.5281/zenodo.1159282 , 10.5281/zenodo.1159281 , 10.48550/arxiv.1609.01899

arXiv: 1609.01899

Distributed compressive sensing: Performance analysis with diverse signal ensembles

- Summary
- Subjects
- Metrics

Abstract

Publication in the conference proceedings of EUSIPCO, Kos island, Greece, 2017

Related Organizations

National Taiwan University of Arts
Taiwan
National Institutes of Health
United States
Academia Sinica
Taiwan
Center for Information Technology
United States
CTBC Business School
Taiwan

View all View all

Keywords

Signal theory (characterization, reconstruction, filtering, etc.), FOS: Computer and information sciences, Computer Science - Information Theory, Information Theory (cs.IT)

Impact byBIP!

	selected citations These citations are derived from selected sources. 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).	6
	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.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average