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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lipeng Ning Xianhua Jiang Georgiou, T. |
| Copyright Year | 2012 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Minnesota, Minneapolis, MN, USA (Lipeng Ning; Xianhua Jiang; Georgiou, T.) |
| Abstract | The problem considered in this paper is that of approximating a sample covariance matrix by one with a Toeplitz structure. The importance stems from the apparent sensitivity of spectral analysis on the linear structure of covariance statistics in conjunction with the fact that estimation error destroys the Toepliz pattern. The approximation is based on appropriate distance measures. To this end, we overview some of the common metrics and divergence measures which have been used for this purpose as well as introduce certain alternatives. In particular, the metric induced by Monge-Kantorovich transportation of the respective probability measures leads to an efficient linear matrix inequality (LMI) formulation of the approximation problem and relates to approximation in the Hellinger metric. We compare these with the maximum likelihood and the Burg method on a representative case study from the literature. |
| Sponsorship | IEEE Control Syst. Soc. |
| Starting Page | 1877 |
| Ending Page | 1882 |
| File Size | 298768 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457710957 |
| ISSN | 07431619 |
| e-ISBN | 9781457710964 |
| e-ISBN | 9781467321020 |
| DOI | 10.1109/ACC.2012.6315639 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-27 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | American Automatic Control Council(AACC) |
| Subject Keyword | Measurement Transportation Approximation methods Covariance matrix Vectors Noise Maximum likelihood estimation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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