Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4637530 | Applied Mathematics and Computation | 2006 | 11 Pages |
Abstract
This paper proposes a recursive least mean squared error fixed-interval smoothing algorithm in distributed parameter systems. It is assumed that the state-space model of the signal to be estimated is unknown, and the algorithm only requires the second-order moments of the signal and the white noise perturbing its observations. Practical application of the proposed algorithm is illustrated with a restoration image problem.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
S. Nakamori, M.J. GarcÃa-Ligero, A. Hermoso-Carazo, J. Linares-Pérez,