Forecasting, filtering, and reconstruction of stochastic stationary signals using discrete-time reservoir computers.
Lyudmila GrigoryevaJulie HenriquesJuan-Pablo OrtegaPublished in: CoRR (2015)
Keyphrases
- markov processes
- non stationary
- signal reconstruction
- optimal control problems
- autoregressive model
- signal processing
- three dimensional
- markov chain
- band limited
- short term
- computer systems
- compressed sensing
- monte carlo
- bandpass
- image reconstruction
- filtering algorithm
- reconstruction process
- optimal control
- discrete tomography
- compressive sensing
- fractional brownian motion
- stochastic differential equations
- filtering method
- computer technology
- forecasting model
- water supply
- reconstruction method
- eeg signals
- support vector regression
- forecast models
- petroleum industry