MCMC Sampling-Based Randomized Likelihood Decoding for Sparse Recovery.
Yoonseong KangWan ChoiPublished in: IEEE Trans. Commun. (2024)
Keyphrases
- image sequences
- markov chain monte carlo
- monte carlo
- posterior probability
- markov chain
- maximum likelihood
- motion estimation
- parameter estimation
- generative model
- sparse representation
- image recovery
- posterior distribution
- motion planning
- decision forest
- random projections
- high dimensional
- sparse data
- compressive sensing
- sparse matrix
- bayesian networks
- decoding process
- proposal distribution
- likelihood function
- log likelihood
- approximate inference
- decoding algorithm
- sparse coding
- em algorithm
- particle filter
- simulated annealing
- likelihood model