Fractional processes and fractional-order signal processing : techniques and applications

Fractional processes are widely found in science, technology and engineering systems. In Fractional Processes and Fractional-order Signal Processing, some complex random signals, characterized by the presence of a heavy-tailed distribution or non-negligible dependence between distant observations (l...

Celý popis

Uloženo v:
Podrobná bibliografie
Hlavní autoři: Sheng, Hu, Chen, Yangquan, 1966- (Autor), Qiu, Tianshuang (Autor)
Médium: Livre numérique
Jazyk:Anglais
Vydáno: London : Springer London 2012.
Cham : Springer Nature
Edice:Signals and Communication Technology
Témata:
On-line přístup:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Poznámka: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Fractional Processes and Fractional-Order Signal Processing, Texte imprimé, 9781447122326
• Fractional Processes and Fractional-Order Signal Processing, Texte imprimé, 9781447122340
• Fractional Processes and Fractional-Order Signal Processing, Texte imprimé, 9781447169246
Obsah:
  • Part I: Overview of Fractional Processes and Fractional-order Signal Processing
  • Introduction
  • Overview of Fractional Processes and Fractional-order Signal Processing
  • Part II: Fractional Processes
  • Constant-order Fractional Processes
  • Multifractional Processes
  • Part III: Fractional-order Signal Processing
  • Constant-order Fractional Signal Processing
  • Variable-order Fractional Signal Processing
  • Distributed-order Fractional Signal Processing
  • Part IV: Applications of Fractional-order Signal Processing Techniques
  • FARIMA with Stable Innovations Model of Great Salt Lake Elevation
  • Analysis of ECN Using Fractional Signal Processing Techniques
  • Optimal Fractional-order Damping Strategies
  • Heavy-tailed Distribution and Local Long Memory in Molecular Motion
  • Multifractional Property Analysis of Human Sleep EEG Signals
  • Conclusions
  • Appendices: Mittag-Leffler Functions; Application of Numerical Inverse Laplace Transform Algorithms in Fractional-order Signal Processing; Some Useful Webpages; MATLAB® Codes of Impulse Response Invariant Discretization of Fractional-order Filters.