Title :
Smoothing estimation of stochastic processes: Two-filter formulas
Author_Institution :
Harvard University, Cambridge, MA, USA
fDate :
4/1/1982 12:00:00 AM
Abstract :
Some simple derivations of two-filter-like formulas (in the smoothing problem of linear estimation) are given for general nonstationary processes. Especially, the argument provides a single development for continuous, discrete, and continuous-discrete schemes (here the results are new). It is shown how a wide sense Markovian assumption is required to give the formulas a backwards filter interpretation. While few of the results are new, the simple derivations will be of intuitive value.
Keywords :
Estimation; Smoothing methods; Stochastic processes; Bridges; Contracts; Filters; Mathematics; Signal processing; Smoothing methods; Statistics; Stochastic processes; Time measurement; Vectors;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1982.1102951