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Selection of number of principal components for de-noising signals

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

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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: 16 Jul 2013 19:30
    URI: http://strathprints.strath.ac.uk/id/eprint/7082

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