Syntactic Methods in Pattern Recognition (Volume 112) (Mathematics in Science and Engineering (Volume 112)) K. S. Fu

Fu, K. S.:

ISBN 10: 0122695607 ISBN 13: 9780122695605

Editorial: Elsevier Science, 1974

Idioma: Ingl�s

Condici�n: Usado - Bueno Encuadernaci�n de tapa dura

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Descripci�n

322 Seiten , 563 g , 2,2 cm - Orig.-Schutzumschlag f e h l t leider (falls es einen gab), obere R�ckenkante etwas angesto�en sonst Einband und Innenteil gut und sauber normalen bis wenigen Spuren, Seitenpapier leicht gedunkelt, unkenntlich gemachter Namensaufkleber (siehe auch mein Foto) [sw.] --- Good condition with normal signs uf use ro Sprache: Englisch Gewicht in Gramm: 563.

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T�tulo

Syntactic Methods in Pattern Recognition (Volume 112) (Mathematics in Science and Engineering (Volume 112)) K. S. Fu

Editor

Elsevier Science

Fecha de publicaci�n

1974

Idioma

Ingl�s

ISBN 10

0122695607

ISBN 13

9780122695605

Encuadernaci�n

*Pp.

Edici�n

1. Aufl.

Estado

Gut

Estado de la sobrecubierta

Sobrecubierta no Incluida

Cat�logos de vendedores

Mathematik

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Sinopsis

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; andmethods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.As a result, the book represents a blend of new methods in general computational analysis,and specific, but also generic, techniques for study of systems theory ant its particularbranches, such as optimal filtering and information compression.

Rese�a del editor

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;
methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; and
methods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.

As a result, the book represents a blend of new methods in general computational analysis,
and specific, but also generic, techniques for study of systems theory ant its particular
branches, such as optimal filtering and information compression.

- Best operator approximation,
- Non-Lagrange interpolation,
- Generic Karhunen-Loeve transform
- Generalised low-rank matrix approximation
- Optimal data compression
- Optimal nonlinear filtering

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