Continued Fractions and Signal Processing Continued Fractions and Signal Processing
Springer Undergraduate Texts in Mathematics and Technology

Continued Fractions and Signal Processing

    • ‏44٫99 US$
    • ‏44٫99 US$

وصف الناشر

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.

النوع
علم وطبيعة
تاريخ النشر
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٦ سبتمبر
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer International Publishing
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Irrationality and Transcendence in Number Theory Irrationality and Transcendence in Number Theory
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Frontiers in Orthogonal Polynomials and q-Series Frontiers in Orthogonal Polynomials and q-Series
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Real Analysis: Questions and Answers Real Analysis: Questions and Answers
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Excursions in Number Theory, Algebra, and Analysis Excursions in Number Theory, Algebra, and Analysis
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Contemporary Developments In Finite Fields And Applications Contemporary Developments In Finite Fields And Applications
٢٠١٦
Number Theory Number Theory
٢٠٠٨
Algebra for Cryptologists Algebra for Cryptologists
٢٠١٦
An Introduction to Mathematical Finance with Applications An Introduction to Mathematical Finance with Applications
٢٠١٦
Calculus with Vectors Calculus with Vectors
٢٠١٤
Abstract Algebra Abstract Algebra
٢٠١٤
Differential Equations Differential Equations
٢٠١٧
Application-Inspired Linear Algebra Application-Inspired Linear Algebra
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