Detection of subspace waveforms in subspace interference and noise.
John A. GubnerLouis L. ScharfPublished in: ICASSP (2000)
Keyphrases
- feature space
- high dimensional
- low dimensional
- signal subspace
- subspace learning
- high dimensional data
- principal component analysis
- dimensionality reduction
- detection accuracy
- clustering high dimensional data
- image processing
- subspace clustering
- kernel based nonlinear
- random noise
- linear subspace
- low signal to noise ratio
- multiscale
- false alarms
- noise reduction
- detection rate
- false positives
- noise level
- multipath
- principal components
- noisy data
- subspace methods
- detection method
- subspace clusters
- detection algorithm
- object detection
- data points
- generalized likelihood ratio