Koutsogiannis, G. and Soraghan, J.J. (2002) Selection of number of principal components for de-noising signals. Electronics Letters, 38 (13). pp. 664-666. ISSN 0013-5194
Full text not available in this repository. (Request a copy from the Strathclyde author)Official URL: http://dx.doi.org/10.1049/el:20020424
Abstract
Principal component analysis (PCA) is a transformation technique used to reduce the dimensionality of a dataset. Using delay embedding, it is possible to know a priori how many principal components to choose to obtain the optimum reconstruction. A novel nonlinear PCA-based scheme employing delay embedding is presented for the de-noising of communication signals.
| Item type: | Article |
|---|---|
| ID code: | 7082 |
| Keywords: | minimum shift keying, principal component analysis, quadrature phase shift keying, signal reconstruction, Electrical engineering. Electronics Nuclear engineering |
| Subjects: | Technology > Electrical engineering. Electronics Nuclear engineering |
| Department: | Faculty of Engineering > Electronic and Electrical Engineering Unknown Department |
| Related URLs: | |
| Depositing user: | Strathprints Administrator |
| Date Deposited: | 31 Oct 2008 |
| Last modified: | 12 Mar 2012 10:46 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/7082 |
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