Continued Fractions and Signal Processing

Lieferzeit: Lieferbar innerhalb 14 Tagen

80,24 

Springer Undergraduate Texts in Mathematics and Technology

ISBN: 3030843599
ISBN 13: 9783030843595
Autor: Sauer, Tomas
Verlag: Springer Verlag GmbH
Umfang: xvii, 263 S., 9 s/w Illustr., 3 farbige Illustr., 263 p. 12 illus., 3 illus. in color.
Erscheinungsdatum: 07.09.2021
Auflage: 1/2022
Produktform: Gebunden/Hardback
Einband: Gebunden

Besides their well-known value in number theory, continued fractions are also a useful tool in modern numerical applications and computer science. The goal of the book is to revisit the almost forgotten classical theory and to contextualize it for contemporary numerical applications and signal processing, thus enabling students and scientist to apply classical mathematics on recent problems. The books tries to be mostly self-contained and to make the material accessible for all interested readers. This provides a new view from an applied perspective, combining the classical recursive techniques of continued fractions with orthogonal problems, moment problems, Prony’s problem of sparse recovery and the design of stable rational filters, which are all connected by continued fractions.

Artikelnummer: 2623257 Kategorie:

Beschreibung

Besides their well-known value in number theory, continued fractions are also a useful tool in modern numerical applications and computer science. The goal of the book is to revisit the almost forgotten classical theory and to contextualize it for contemporary numerical applications and signal processing, thus enabling students and scientist to apply classical mathematics on recent problems. The books tries to be mostly self-contained and to make the material accessible for all interested readers. This provides a new view from an applied perspective, combining the classical recursive techniques of continued fractions with orthogonal problems, moment problems, Prony's problem of sparse recovery and the design of stable rational filters, which are all connected by continued fractions.

Autorenporträt

Tomas Sauer holds the chair of Mathematics for Image Processing at the University of Passau. His research interests include signal and image processing, computer algebra and numerical methods for the solution of real world applied problems. He founded the Fraunhofer IIS research group "Knowledge based image processing" at the University of Passau that deals with the development of methods for handlig large scale industrial tomography data.

Herstellerkennzeichnung:


Springer Verlag GmbH
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69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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