Continued Fractions and Signal Processing

Tomas Sauer

ISBN 10: 3030843629 / ISBN 13: 9783030843625

Published by Springer, 2022

About this Item

Continued Fractions and Signal Processing | Tomas Sauer | Taschenbuch | Springer Undergraduate Texts in Mathematics and Technology | xvii | Englisch | 2022 | Springer | EAN 9783030843625 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 123019014

Bibliographic Details

• Title: Continued Fractions and Signal Processing
• Publisher: Springer
• Publication Date: 2022
• Language: English
• ISBN 10: 3030843629
• ISBN 13: 9783030843625
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 16D millimeters 235 millimeters width by 155 millimeters height by 16 millimeters depth
• Weight: 435 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.

About the Author

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.