The recovery of sparse initial state based on compressed sensing for discrete-time linear system.
Zhongmei WangHuanshui ZhangPublished in: Neurocomputing (2016)
Keyphrases
- compressed sensing
- initial state
- image reconstruction
- random projections
- sparse representation
- orthogonal matching pursuit
- natural images
- signal recovery
- state space
- situation calculus
- compressive sampling
- optimal policy
- signal processing
- probability distribution
- fourier domain
- markov chain
- nearest neighbor
- dimension reduction
- hash functions
- transfer function
- optic flow
- high dimensional
- high quality
- learning algorithm
- data sets