Title :
Optimal deconvolution smoother
Author_Institution :
Paisley College of Technology, Department of Electrical and Electronic Engineering, Paisley, UK
fDate :
1/1/1986 12:00:00 AM
Abstract :
The optimal fixed-lag deconvolution smoothing problem is solved in the frequency domain. It is shown how the smoother may be implemented online by using an innovations moving average description, thus avoiding a two-pass algorithm, involving causal and anticausal filtering. The optimal smoother is given in polynomial matrix form, which makes the solution relatively simple to implement.
Keywords :
filtering and prediction theory; anticausal filtering; causal filtering; frequency domain; innovations moving average description; optimal fixed-lag deconvolution smoothing; polynomial matrix;
Journal_Title :
Control Theory and Applications, IEE Proceedings D
DOI :
10.1049/ip-d.1986.0002