Speech Compressive Sampling Using Approximate Message Passing and a Markov Chain Prior.
Xiaoli JiaPeilin LiuSumxin JiangPublished in: Sensors (2020)
Keyphrases
- markov chain
- message passing
- inference in graphical models
- compressive sampling
- belief propagation
- compressive sensing
- distributed systems
- markov chain monte carlo
- monte carlo
- probabilistic inference
- compressed sensing
- markov random field
- state space
- graph cuts
- graphical models
- approximate inference
- transform domain
- maximum a posteriori
- machine learning
- sparse representation
- prior knowledge
- image retrieval