A Partial Relaxation DOA Estimator Based on Orthogonal Matching Pursuit.
Minh Trinh-HoangWing-Kin MaMarius PesaventoPublished in: ICASSP (2020)
Keyphrases
- orthogonal matching pursuit
- signal recovery
- compressed sensing
- transform domain
- least squares
- sparse representation
- sparse approximation
- convex relaxation
- compressive sensing
- maximum likelihood
- feature selection
- objective function
- maximum a posteriori
- image reconstruction
- high dimensional
- estimation algorithm
- globally optimal
- random sampling
- fourier domain
- denoising
- pattern recognition