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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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Official URL: http://dx.doi.org/10.1109/NCC.2012.6176784

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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