Distributed State Estimation for Sparse Stochastic Systems Based on Compressed Sensing.
Rongjiang LiDie GanHaibo GuJinhu LüPublished in: IEEE Trans. Circuits Syst. II Express Briefs (2024)
Keyphrases
- compressed sensing
- state estimation
- stochastic systems
- image reconstruction
- random projections
- sparse representation
- kalman filter
- particle filter
- natural images
- kalman filtering
- visual tracking
- stochastic models
- particle filtering
- dynamic systems
- confidence intervals
- image classification
- signal processing
- machine learning
- least squares
- dynamic programming
- image sequences
- computer vision