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Bayesian Learning-Based Kalman Smoothing For Linear Dynamical Systems With Unknown Sparse Inputs.

Rupam Kalyan ChakrabortyGeethu JosephChandra R. Murthy
Published in: ICASSP (2024)
Keyphrases
  • bayesian learning
  • linear dynamical systems
  • model selection
  • dynamical systems
  • posterior distribution
  • hidden markov models
  • high dimensional
  • real valued
  • optical flow
  • least squares