ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Progressive fusion of reconstruction algorithms for low latency applications in compressed sensing

Ambat, Sooraj K and Chatterjee, Saikat and Hari, KVS (2014) Progressive fusion of reconstruction algorithms for low latency applications in compressed sensing. In: SIGNAL PROCESSING, 97 . pp. 146-151.

[img] PDF
sig_pro_97_146_2014.pdf - Published Version
Restricted to Registered users only

Download (344Kb) | Request a copy
Official URL: http://dx.doi.org/10.1016/j.sigpro.2013.10.019

Abstract

Recently, it has been shown that fusion of the estimates of a set of sparse recovery algorithms result in an estimate better than the best estimate in the set, especially when the number of measurements is very limited. Though these schemes provide better sparse signal recovery performance, the higher computational requirement makes it less attractive for low latency applications. To alleviate this drawback, in this paper, we develop a progressive fusion based scheme for low latency applications in compressed sensing. In progressive fusion, the estimates of the participating algorithms are fused progressively according to the availability of estimates. The availability of estimates depends on computational complexity of the participating algorithms, in turn on their latency requirement. Unlike the other fusion algorithms, the proposed progressive fusion algorithm provides quick interim results and successive refinements during the fusion process, which is highly desirable in low latency applications. We analyse the developed scheme by providing sufficient conditions for improvement of CS reconstruction quality and show the practical efficacy by numerical experiments using synthetic and real-world data. (C) 2013 Elsevier B.V. All rights reserved.

Item Type: Journal Article
Related URLs:
Additional Information: copyright for this article belongs to ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
Keywords: Compressed sensing; Sparse recovery; Fusion; Signal reconstruction; Progressive reconstruction; Low latency
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 25 Mar 2014 09:43
Last Modified: 25 Mar 2014 09:43
URI: http://eprints.iisc.ernet.in/id/eprint/48708

Actions (login required)

View Item View Item