Hugendubel.info - Die B2B Online-Buchhandlung 

Merkliste
Die Merkliste ist leer.
Bitte warten - die Druckansicht der Seite wird vorbereitet.
Der Druckdialog öffnet sich, sobald die Seite vollständig geladen wurde.
Sollte die Druckvorschau unvollständig sein, bitte schliessen und "Erneut drucken" wählen.

Continued Fractions and Signal Processing

BuchGebunden
263 Seiten
Englisch
Springererschienen am07.09.20211st ed. 2021
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.mehr
Verfügbare Formate
BuchGebunden
EUR80,24
BuchKartoniert, Paperback
EUR58,84
E-BookPDF1 - PDF WatermarkE-Book
EUR58,84

Produkt

KlappentextThis 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.
Details
ISBN/GTIN978-3-030-84359-5
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2021
Erscheinungsdatum07.09.2021
Auflage1st ed. 2021
Seiten263 Seiten
SpracheEnglisch
IllustrationenXVII, 263 p. 12 illus., 3 illus. in color.
Artikel-Nr.49914945

Inhalt/Kritik

Inhaltsverzeichnis
1. âContinued fractions and what can be done with them.- 2. Continued fractions of real numbers.- 3. Rational functions as continued fractions of polynomials.- 4.Continued Fractions and Gauss.- 5. Continued Fractions and Prony.- 6. Digital Signal processing.- 7.Contined Fractions, Hurwitz and Stieltjes.mehr
Kritik
"The author provides many references throughout the text, and readers might need to use those to fill in context and follow the development. ... One of the best uses of this book might be as a source for special projects for more advanced undergraduates." (Bill Satzer, MAA Reviews, January 10, 2022)mehr

Autor

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.
Weitere Artikel von
Sauer, Tomas