Union of Subspaces Signal Detection In Subspace Interference.
Muhammad Asad LodhiWaheed U. BajwaPublished in: SSP (2018)
Keyphrases
- signal detection
- linear subspace
- subspace clusters
- low dimensional
- high dimensional data
- lower dimensional
- grassmann manifold
- canonical correlations
- principal component analysis
- low rank representation
- subspace clustering
- linear projection
- high dimensional
- dimensionality reduction
- feature space
- hilbert space
- weak signal
- subspace learning
- subspace analysis
- low signal to noise ratio
- image space
- face recognition
- arbitrarily oriented
- basis vectors
- data sets
- image set
- multipath
- feature subspace
- higher dimensional
- data points
- original data
- subspace methods
- manifold learning
- low rank
- multiple views
- clustering high dimensional data
- stochastic gradient
- principal components
- von neumann
- low dimensional spaces
- data sources
- multi frame
- spherical harmonics