Title :
A new method for optimal deconvolution
Author :
Zhang, Huan-Shui ; Liu, Xiang-Jie ; Chai, Tian-You
Author_Institution :
Res. Center of Autom., Northeastern Univ., Shenyang, China
fDate :
10/1/1997 12:00:00 AM
Abstract :
Using an innovation analysis method in the time domain, the problem of optimal input estimation is considered, Two algorithms for calculating optimal deconvolution estimators are presented. A new tool for obtaining the estimators is described. It is based on the projection method and innovation theory. The approach covers input prediction, filtering, and smoothing problems. The solution is also applied to unstable linear systems, disturbances, or input models
Keywords :
deconvolution; estimation theory; linear systems; prediction theory; smoothing methods; time-domain analysis; disturbances; filtering; innovation analysis method; innovation theory; input model; input prediction; optimal deconvolution; optimal deconvolution estimators; optimal input estimation; projection method; smoothing; time domain; unstable linear system; Algorithm design and analysis; Deconvolution; Equations; Filtering; Linear systems; Poles and zeros; Polynomials; Smoothing methods; Technological innovation; Time domain analysis;
Journal_Title :
Signal Processing, IEEE Transactions on