Selection of number of principal components for de-noising signals

G. Koutsogiannis, J.J. Soraghan

Research output: Contribution to journalArticle

9 Citations (Scopus)

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.
LanguageEnglish
Pages664-666
Number of pages2
JournalElectronics Letters
Volume38
Issue number13
DOIs
Publication statusPublished - 2002

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Principal component analysis
Communication

Keywords

  • minimum shift keying
  • principal component analysis
  • quadrature phase shift keying
  • signal reconstruction

Cite this

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title = "Selection of number of principal components for de-noising signals",
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.",
keywords = "minimum shift keying, principal component analysis, quadrature phase shift keying, signal reconstruction",
author = "G. Koutsogiannis and J.J. Soraghan",
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Selection of number of principal components for de-noising signals. / Koutsogiannis, G.; Soraghan, J.J.

In: Electronics Letters, Vol. 38, No. 13, 2002, p. 664-666.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Selection of number of principal components for de-noising signals

AU - Koutsogiannis, G.

AU - Soraghan, J.J.

PY - 2002

Y1 - 2002

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AB - 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.

KW - minimum shift keying

KW - principal component analysis

KW - quadrature phase shift keying

KW - signal reconstruction

UR - http://dx.doi.org/10.1049/el:20020424

U2 - 10.1049/el:20020424

DO - 10.1049/el:20020424

M3 - Article

VL - 38

SP - 664

EP - 666

JO - Electronics Letters

T2 - Electronics Letters

JF - Electronics Letters

SN - 0013-5194

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