A fixed-point smoothing algorithm in discrete-time systems with correlated signal and noise

The linear least mean-square fixed-point smoothing problem in discrete-time systems is formulated in the general case where the signal is any nonstationary stochastic process of second order which is observed in the presence of an additive white noise correlated with the signal. Under the only assum...

Full description

Saved in:
Bibliographic Details
Published in:Proceedings of the ... European Signal Processing Conference (EUSIPCO) pp. 1 - 4
Main Authors: Fernandez-Alcala, R. M., Navarro-Moreno, J., Ruiz-Molina, J. C., Oya-Lechuga, A.
Format: Conference Proceeding
Language:English
Published: IEEE 01.09.2006
Subjects:
Abstracts
Europe
Noise
ISSN:2219-5491, 2219-5491
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The linear least mean-square fixed-point smoothing problem in discrete-time systems is formulated in the general case where the signal is any nonstationary stochastic process of second order which is observed in the presence of an additive white noise correlated with the signal. Under the only assumption that the correlation functions involved are factorizable kernels, an efficient recursive computational algorithm for the fixed-point smoother is designed. Also, a filtering algorithm is devised.
ISSN:2219-5491
2219-5491