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.
Original language | English |
---|---|
Pages (from-to) | 664-666 |
Number of pages | 2 |
Journal | Electronics Letters |
Volume | 38 |
Issue number | 13 |
DOIs | |
Publication status | Published - 2002 |
Keywords
- minimum shift keying
- principal component analysis
- quadrature phase shift keying
- signal reconstruction