Approximating the zero-norm penalized sparse signal recovery using a hierarchical Bayesian framework.
Zonglong BaiJunyan ZhangLiming ShiMads Græsbøll ChristensenPublished in: Signal Process. (2024)
Keyphrases
- signal recovery
- bayesian framework
- prior knowledge
- generative model
- maximum a posteriori
- gaussian process
- maximum likelihood
- data driven markov chain monte carlo
- hyperparameters
- least squares
- low rank and sparse
- compressed sensing
- posterior distribution
- expectation maximization
- orthogonal matching pursuit
- probability density function
- optical flow
- higher order
- post processing
- cross validation
- machine learning
- model selection
- em algorithm
- dictionary learning
- projections onto convex sets