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Some options for L1-subspace signal processing

Markopoulos Panagiotis, Karystinos Georgios, Pados D. A.

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URIhttp://purl.tuc.gr/dl/dias/4C554AE2-82C8-4D29-BAF7-74BF048F051C-
Languageen-
Extent4en
TitleSome options for L1-subspace signal processingen
CreatorMarkopoulos Panagiotisen
CreatorΜαρκοπουλος Παναγιωτηςel
CreatorKarystinos Georgiosen
CreatorΚαρυστινος Γεωργιοςel
Creator Pados D. A.en
Content SummaryWe describe ways to define and calculate L1-norm signal subspaces which are less sensitive to outlying data than L2-calculated subspaces. We focus on the computation of the L1 maximum-projection principal component of a data matrix containing N signal samples of dimension D and conclude that the general problem is formally NP-hard in asymptotically large N, D. We prove, however, that the case of engineering interest of fixed dimension D and asymptotically large sample support N is not and we present an optimal algorithm of complexity O(N(exp D)). We generalize to multiple L1-max-projection components and present an explicit optimal L1 subspace calculation algorithm in the form of matrix nuclear-norm evaluations. We conclude with illustrations of L1-subspace signal processing in the fields of data dimensionality reduction and direction-of-arrival estimationen
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by-nc-nd/4.0/en
Date of Item2015-11-10-
Date of Publication2013-
Bibliographic Citation P. P. Markopoulos, G. N. Karystinos, and D. A. Pados, “Some options for L1-subspace signal processing,” in Proc. IEEE - International Symposium on Wireless Communication Systems,( ISWCS '13) Aug, pp.1-5 en

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