Fractional Calculus for Scientists and Engineers

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 fract...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Ortigueira, Manuel Duarte (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Dordrecht : Springer Netherlands : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Colección:Lecture Notes in Electrical Engineering, 84
Temas:
Engineering mathematics.
Engineering-Data processing.
Signal processing.
Computer science-Mathematics.
Mathematical and Computational Engineering Applications.
Signal, Speech and Image Processing .
Mathematics of Computing.
Acceso en línea:Texto Completo

MARC

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300 |a XIV, 154 p.  |b online resource. 
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490 1 |a Lecture Notes in Electrical Engineering,  |x 1876-1119 ;  |v 84 
505 0 |a 1. Fractional Derivative -- 2. Integral representations -- 3. Fractional Linear Systems -- 4. Two sided fractional derivatives -- 5. The quantum fractional derivative and the scale invariant linear systems -- 6. Where do we go? 
520 |a 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. �. 
650 0 |a Engineering mathematics. 
650 0 |a Engineering-Data processing. 
650 0 |a Signal processing. 
650 0 |a Computer science-Mathematics. 
650 1 4 |a Mathematical and Computational Engineering Applications. 
650 2 4 |a Signal, Speech and Image Processing . 
650 2 4 |a Mathematics of Computing. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9789400707467 
776 0 8 |i Printed edition:  |z 9789400736375 
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830 0 |a Lecture Notes in Electrical Engineering,  |x 1876-1119 ;  |v 84 
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912 |a ZDB-2-SXE 
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950 |a Engineering (R0) (SpringerNature-43712) 

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