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Tensor decomposition based R-dimensional matrix pencil method.

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Tensor decomposition based R-dimensional matrix pencil method.

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dc.contributor.author Wen, Fuxi.
dc.contributor.author Tay, Wee Peng.
dc.date.accessioned 2012-10-12T07:41:19Z
dc.date.available 2012-10-12T07:41:19Z
dc.date.copyright 2012
dc.date.issued 2012-10-12
dc.identifier.citation Wen, F., & Tay, W. P. (2012). Tensor decomposition based R-dimensional matrix pencil method. 15th International Conference on Information Fusion (FUSION), 2012, pp.1712-1717.
dc.identifier.uri http://hdl.handle.net/10220/8768
dc.description.abstract In this paper, we extend the standard matrix pencil (MP) method to R-dimensional (R-D) tensor based MP. Higher-order singular value decomposition (HOSVD) is used to obtain the signal subspace. Performance of tensor based MP method is evaluated by computer simulations. Comparing with the conventional matrix based MP methods, better performance is obtained for tensor based R-D MP methods by exploiting the structure of the measurement data. Furthermore, it is straightforward to extend the proposed R-D tensor MP to other MP type methods, such as R-D unitary tensor MP, R-D beamspace tensor MP.
dc.language.iso en
dc.rights © 2012 ISIF.
dc.subject DRNTU::Engineering::Electrical and electronic engineering.
dc.title Tensor decomposition based R-dimensional matrix pencil method.
dc.type Conference Paper
dc.contributor.conference 15th International Conference on Information Fusion (FUSION), 2012
dc.contributor.school School of Electrical and Electronic Engineering
dc.identifier.openurl http://ieeexplore.ieee.org/xpl/articleDetails.jsp;jsessionid=Q8SWQQXL4TNfbzZgpD25Wg8ky21Jw2VHhMJ1hhJgcb5D2pJP1X2y!-1489032362?arnumber=6290509&contentType=Conference+Publications
dc.identifier.rims 164588

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