Title :
Recursive causal linear filtering for two-dimensional random fields
fDate :
1/1/1978 12:00:00 AM
Abstract :
The causal estimation of a two-parameter Gaussian random field in the presence of an additive, independent, white Gaussian noise is studied. The dynamics of this random field are modeled by partial differential equations from which the recursive filtering equations and the generalized Riccati equation are derived. A specific example is solved in detail.
Keywords :
Gaussian processes; Multidimensional signal processing; Recursive estimation; State estimation; Automatic control; Differential equations; Maximum likelihood detection; Partial differential equations; Recursive estimation; Riccati equations; Signal processing algorithms; Spline; Statistics; Stochastic processes;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.1978.1055818