Distributed fusion estimation from measurements with correlated random parameter matrices and noise correlation.
Raquel Caballero-ÁguilaIrene García-GarridoJosefa Linares-PérezPublished in: Int. J. Comput. Math. (2020)
Keyphrases
- signal subspace
- correlation matrix
- measurement noise
- measurement error
- correlation function
- highly correlated
- distributed systems
- noisy data
- measurement errors
- high correlation
- estimation error
- distributed environment
- multi agent
- positively correlated
- noise level
- strongly correlated
- singular value decomposition
- image noise
- fusion algorithm
- statistically independent
- classification noise
- noisy measurements
- sampled data
- random noise
- spatial correlation
- noise model
- robust estimation
- density estimation
- signal to noise ratio
- parameter space
- missing data
- peer to peer
- wavelet transform
- high dimensional