Robust estimation of the clutter subspace for a Low Rank heterogeneous noise under high Clutter to Noise Ratio assumption.
Arnaud BreloyGuillaume GinolhacFrédéric PascalPhilippe ForsterPublished in: ICASSP (2014)
Keyphrases
- robust estimation
- low rank
- missing data
- rank minimization
- low rank representation
- high dimensional data
- matrix factorization
- convex optimization
- signal to noise ratio
- least squares
- noise ratio
- semi supervised
- singular value decomposition
- high order
- linear combination
- received signal
- singular values
- noise reduction
- motion field
- matrix completion
- low dimensional
- dimensionality reduction