- 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
- Full Text
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