Identifiability of the deconvolution problem-Reference-Cited by-同舟云学术

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Identifiability of the deconvolution problem

Published:1990-01 Issue:1 Volume:26 Page:177-181
ISSN:0005-1098
Container-title:Automatica
language:en
Short-container-title:Automatica

Author:

Ahlén Anders

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference23 articles.

1. An input estimation approach to differentiation of noisy data;Ahlén,1984

2. Input estimation with application to differentiation;Ahlén,1986

3. Optimal input estimation: a polynomial approach;Ahlén,1985

4. Optimal deconvolution based on polynomial methods;Ahlén;IEEE Trans. Acoust. Speech Sig. Process.,1989

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1. Disturbance Observers: Methods and Applications. I. Methods;Automation and Remote Control;2020-09

2. Identifiability of the stochastic semi-blind deconvolution problem for a class of time-invariant linear systems;Automatica;2007-04

3. Nonparametric input estimation in physiological systems: Problems, methods, and case studies;Automatica;1997-05

4. H 2 Design of Nominal and Robust Discrete Time Filters;Polynomial Methods for Control Systems Design;1996

5. Optimal differentiation based on stochastic signal models;IEEE Transactions on Signal Processing;1991

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