Vector sampling expansion: deterministic and stochastic signals.
Daniel SeidnerMeir FederPublished in: ICASSP (1997)
Keyphrases
- monte carlo
- stochastic optimization problems
- stochastic methods
- signal processing
- metropolis hastings
- point processes
- stochastic optimization
- sampling algorithm
- vector space
- sample size
- jump diffusion process
- low pass filtering
- sparse matrix
- random sampling
- sampling strategy
- parameter space
- ecg signals
- sampling methods
- spectral analysis
- sample average approximation
- decision trees
- sampling strategies
- input signals
- markov processes
- sampled data
- induction motor
- stochastic model
- random variables
- reinforcement learning