URI | http://purl.tuc.gr/dl/dias/4C554AE2-82C8-4D29-BAF7-74BF048F051C | - |
Language | en | - |
Extent | 4 | en |
Title | Some options for L1-subspace signal processing | en |
Creator | Markopoulos Panagiotis | en |
Creator | Μαρκοπουλος Παναγιωτης | el |
Creator | Karystinos Georgios | en |
Creator | Καρυστινος Γεωργιος | el |
Creator | Pados D. A. | en |
Content Summary | We 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 estimation | en |
Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
Type of Item | Conference Full Paper | en |
License | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
Date of Item | 2015-11-10 | - |
Date of Publication | 2013 | - |
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 |