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© 2011

Fractional Calculus for Scientists and Engineers

Book

Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 84)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Manuel Duarte Ortigueira
    Pages 1-3
  3. Manuel Duarte Ortigueira
    Pages 5-41
  4. Manuel Duarte Ortigueira
    Pages 43-69
  5. Manuel Duarte Ortigueira
    Pages 71-99
  6. Manuel Duarte Ortigueira
    Pages 101-121
  7. Manuel Duarte Ortigueira
    Pages 145-152

About this book

Introduction

In recent years fractional calculus has been rediscovered by scientists and engineers and applied in an increasing number of fields, such as electromagnetism, control engineering, and signal processing. The increase in the number of physical and engineering processes that are best described by fractional differential equations has motivated its study.

This book gives a practical overview of Fractional Calculus as it relates to Signal Processing.� It is designed to be accessible by Scientists and Engineers mainly interested in applications, who do not want to spend too much time and effort to access to the main Fractional Calculus features and tools.� Readers can benefit from the attempt to present a Fractional Calculus foundation based of the Gr�nwald-Letnikov derivative, because it exhibits great coherence allowing deduction from it the other derivatives, which appear as a consequence of the Gr�nwald-Letnikov derivative properties and not as a prescription.


Keywords

Fractional Calculus Fractional Derivative Fractional Signal Processing Linear Systems Quantum Computing

Authors and affiliations

  1. 1.Faculdade de Ciências/Tecnologia da UNL, Campus da FCT Quinta da TorreUNINOVA and DEECaparicaPortugal

Bibliographic information

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Reviews

From the reviews:

“Fractional calculus--the theory of differential and integral operators of noninteger order--is an area of mathematics that has been neglected for a very long period of time. … Ortigueira provides a look at this theory from the point of view of someone working in signal processing. … it may be a book suitable for experts in signal processing who want to learn how they can use fractional calculus for the modeling of their circuits and systems … .” (Kai Diethelm, ACM Computing Reviews, October, 2011)