Abstract
| Language | English |
|---|---|
| Pages | 664-666 |
| Number of pages | 2 |
| Journal | Electronics Letters |
| Volume | 38 |
| Issue number | 13 |
| DOIs | |
| Publication status | Published - 2002 |
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Keywords
- minimum shift keying
- principal component analysis
- quadrature phase shift keying
- signal reconstruction
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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 journal › Article
TY - JOUR
T1 - Selection of number of principal components for de-noising signals
AU - Koutsogiannis, G.
AU - Soraghan, J.J.
PY - 2002
Y1 - 2002
N2 - 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.
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
IS - 13
ER -