Approximated stochastic realization and model reduction methods applied to array processing by means of state space models.
Jean-Pierre Le CadrePatrice RavazzolaPublished in: ICASSP (1989)
Keyphrases
- statistical models
- probabilistic model
- learned models
- statistical model
- classification models
- state space
- stochastic model
- monte carlo simulation
- mathematical models
- linear regression
- computational models
- computational model
- linear models
- hybrid model
- prior knowledge
- statistical methods
- qualitative and quantitative
- mathematical model
- monte carlo
- experimental data
- modeling framework
- theoretical models
- accurate models
- independence assumption
- stochastic processes
- predictive model
- machine learning methods
- learning models
- parameter estimation
- analytical model
- stochastic process
- neural network model
- metamodel
- models built
- bayesian framework
- linear model
- reduction method
- stochastic models
- prediction model