Reduced feedback SDMA based on subspace packings.
Patrick SvedmanEduard A. JorswieckBjörn E. OtterstenPublished in: IEEE Trans. Wirel. Commun. (2009)
Keyphrases
- principal component analysis
- feature space
- feedback mechanisms
- significantly reduced
- subspace clustering
- high dimensional
- high dimensional data
- dimensionality reduction
- subspace learning
- principal components
- low dimensional
- feature extraction
- information retrieval
- real time
- relevance feedback
- image processing
- learning algorithm
- genetic algorithm
- principal components analysis
- subspace methods
- eigendecomposition