An on-line MUSIC algorithm with applications to sparse signal reconstruction

Title: An on-line MUSIC algorithm with applications to sparse signal reconstruction
Creator: Delgado, Ramón A.; Goodwin, Graham C.; Feuer, Arie
Relation: MTNS 2012: 20th International Symposium on Mathematical Theory of Networks and Systems. Proceedings of the 20th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2012) (Melbourne, Australia 9-13 July, 2012)
Relation: http://www.mtns2012.conference.net.au
Publisher: University of Melbourne, School of Engineering
Resource Type: conference paper
Date: 2012
Description: Sparse models are a class of systems in which prior knowledge indicates the presence of a majority of zero valued parameters in a model but not the location of the zeros in the parameter vector [1, 2, 3]. Such models occur in a wide range of applications [4, 5, 6, 7, 8, 3]. Many algorithms have been developed for estimating the location of the null parameters. Well known algorithms include, LASSO and Dantzig [9, 10]. These can be thought of as providing a form of regularization. It has been shown that, under appropriate conditions, these algorithms can find the correct location of the null parameters.
Subject: algorithm; on-line; MUSIC algorithm; blind multiband signal reconstruction
Identifier: http://hdl.handle.net/1959.13/1053163
Identifier: uon:15535
Identifier: ISBN:9780646580623
Language: eng
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