Asymptotic filters: an unifying approach to signal filtering

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F02%3A00073528" target="_blank" >RIV/49777513:23220/02:00073528 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Asymptotic filters: an unifying approach to signal filtering
Original language description
The paper studies some connections between main results of the well known Wiener-Kalman-Bucy stochastic approach to filtering problems, based mainly on the linear stochastic estimation theory and emphasizing the optimality aspects of searched solutions,and the classical deterministic frequency domain linear filters (such as Chebyshev, Butterworth and/or Bessel). As a result a new non-stochastic but not necessary deterministic ( possibly nonlinear) alternative approach based mainly on a generalized notion of the system equivalence relation and basic ideas of the well known direct method of A.M.Lyapunov has been developed.
Czech name
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Czech description
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Project
<a href="/en/project/GA102%2F99%2F1074" target="_blank" >GA102/99/1074: Methods and means for the elimination of interference present in large-scale industrial systems based on digital signal processors and neural networks</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2002
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Asymptotic filters: an unifying approach to signal filtering
ISBN
8070828668
ISSN
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e-ISSN
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Number of pages
16
Pages from-to
85
Publisher name
Západočeská univerzita
Place of publication
Plzeň
Event location
Plzeň
Event date
Jan 1, 2002
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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