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pro vyhledávání: '"P.A Ruymgaart"'
Autor:
P.A. Ruymgaart, Tsu T. Soong
Since their introduction in the mid 1950s, the filtering techniques developed by Kalman, and by Kalman and Bucy have been widely known and widely used in all areas of applied sciences. Starting with applications in aerospace engineering, their impact
Autor:
P.A. Ruymgaart, T.T. Soong
Publikováno v:
Computers & Mathematics with Applications. 19:135-140
This paper considers an integral equation of the Fredholm type which plays an important role in systems theory. The aim is to examine the uniqueness and differentiability of its solution. These properties are required in a number of system applicatio
Autor:
P.A. Ruymgaart
Publikováno v:
Indagationes Mathematicae (Proceedings). 74:346-360
The Wiener-Hopf equations of the Kalman-Bucy estimate can be solved, owing to the assumption that the covariance matrix of the observation noise is invertible. It will be shown that this property is already needed from the very outset, where the esti
Autor:
P.A Ruymgaart
Publikováno v:
Indagationes Mathematicae (Proceedings). (3):263-274
It is noteworthy that the possibility of computing Kalman-Bucy estimates depends entirely on the mathematical properties of the Wiener-Levy processes figuring in the observations, whereas no observation device ever could generate processes of that ki
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Autor:
Manfred R. Schroeder
Computer Speech is an introduction to multimedia speech applications and is suitable for nonspecialists. It treats such contemporary subjects as automatic speech recognition and speaker verification for banking by computer and privileged (medical, mi
Autor:
Heinrich Niemann
In this second edition every chapter of the first edition of Pattern Analysis has been updated and expanded. The general view of a system for pattern analysis and understanding has remained unchanged, but many details have been revised. A short accou
Autor:
Peter Strobach
Lnear prediction theory and the related algorithms have matured to the point where they now form an integral part of many real-world adaptive systems. When it is necessary to extract information from a random process, we are frequently faced with the