Tome, A. M. and Teixeira, A. R. and Figueiredo, N. and Santos, I. M. and Georgieva, P. and Lang, E. W. (2010) SSA of biomedical signals: A linear invariant systems approach. STATISTICS AND ITS INTERFACE, 3 (3). pp. 345-355. ISSN 1938-7989,
Full text not available from this repository. (Request a copy)Abstract
Singular spectrum analysis (SSA) is considered from a. linear invariant systems perspective. In this terminology, the extracted components are considered as outputs of a linear invariant system which corresponds to finite impulse response (FIR) filters. The number of filters is determined by the embedding dimension. We propose to explicitly define the frequency response of each filter responsible for the selection of informative components. We also introduce a. subspace distance measure for clustering subspace models. We illustrate the methodology by analyzing Electroencephalograms (EEG).
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | SUBSPACE DISTANCE; SSA; Linear invariant systems; Signal enhancement; Subspace distances |
| Subjects: | 500 Science > 570 Life sciences |
| Divisions: | Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 27 Aug 2020 07:22 |
| Last Modified: | 27 Aug 2020 07:22 |
| URI: | https://pred.uni-regensburg.de/id/eprint/25628 |
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