Sparse recovery using an SVD approach to interference removal and parameter estimation.
Charles Ethan HayesJames H. McClellanWaymond R. ScottPublished in: SP/SPE (2015)
Keyphrases
- parameter estimation
- least squares
- singular value decomposition
- maximum likelihood
- model selection
- statistical models
- markov random field
- posterior distribution
- parameter estimation algorithm
- em algorithm
- approximate inference
- random fields
- high dimensional
- expectation maximization
- maximum likelihood estimation
- sparse representation
- low rank approximation
- parameter values
- optical flow
- parameter estimates
- estimation problems
- position estimation
- parameters estimation
- feature space
- synthetic aperture radar
- hidden markov models
- model fitting
- feature selection