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

Published by Elsevier Science, 1974

About this Item

322 Seiten , 563 g , 2,2 cm - Orig.-Schutzumschlag f e h l t leider (falls es einen gab), obere Rückenkante etwas angestoßen 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.

Seller Inventory # 50862

Bibliographic Details

• Title: Syntactic Methods in Pattern Recognition (Volume 112) (Mathematics in Science and Engineering (Volume 112)) K. S. Fu
• Publisher: Elsevier Science
• Publication Date: 1974
• Language: English
• ISBN 10: 0122695607
• ISBN 13: 9780122695605
• Binding: *Pp.
• Edition: 1. Aufl.
• Condition: Gut
• Dust Jacket Condition: Dust Jacket Included
• Seller catalogs:
  • Mathematik

About this title

Synopsis

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.

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