Two-layer precoding for dimensionality reduction in massive MIMO.
Antti ArvolaAntti TölliDavid GesbertPublished in: EUSIPCO (2016)
Keyphrases
- dimensionality reduction
- high dimensional data
- principal component analysis
- feature extraction
- pattern recognition
- high dimensional
- multi layer
- low dimensional
- high dimensionality
- dimensionality reduction methods
- structure preserving
- linear discriminant analysis
- random projections
- principal components
- manifold learning
- kernel learning
- cdma systems
- feature selection
- data representation
- feature space
- communication systems
- data points
- kernel pca
- nonlinear dimensionality reduction
- fading channels
- machine learning
- nearest neighbor
- data analysis
- pattern recognition and machine learning