Compressed acquisition of correlated signals

Satyanarayana, JV and Ramakrishnan, AG (2012) Compressed acquisition of correlated signals. In: 2012 National Conference on Communications (NCC), 3-5 Feb. 2012, Kharagpur, India.

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Abstract

Distributed compressed sensing exploits information redundancy, inbuilt in multi-signal ensembles with interas well as intra-signal correlations, to reconstruct undersampled signals. In this paper we revisit this problem, albeit from a different perspective, of taking streaming data, from several correlated sources, as input to a real time system which, without any a priori information, incrementally learns and admits each source into the system.

Item Type:	Conference Paper
Publisher:	IEEE
Additional Information:	Copyright of this article belongs to IEEE.
Keywords:	Stributed Compressed Sensing; Joint Sparsity Models; Karhunen- �Loueve Transform; Multiple Measurement Vector Problem
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	02 Jul 2013 06:57
Last Modified:	02 Jul 2013 06:57
URI:	http://eprints.iisc.ac.in/id/eprint/46541

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