Fractional Processes and Fractional-Order Signal Processing

Techniques and Applications

Nonfiction, Computers, Application Software, Computer Graphics, Science & Nature, Technology, Electronics
Cover of the book Fractional Processes and Fractional-Order Signal Processing by Hu Sheng, YangQuan Chen, TianShuang Qiu, Springer London
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Hu Sheng, YangQuan Chen, TianShuang Qiu ISBN: 9781447122333
Publisher: Springer London Publication: October 20, 2011
Imprint: Springer Language: English
Author: Hu Sheng, YangQuan Chen, TianShuang Qiu
ISBN: 9781447122333
Publisher: Springer London
Publication: October 20, 2011
Imprint: Springer
Language: English

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 (local and long memory), are introduced and examined from the ‘fractional’ perspective using simulation, fractional-order modeling and filtering and realization of fractional-order systems. These fractional-order signal processing (FOSP) techniques are based on fractional calculus, the fractional Fourier transform and fractional lower-order moments. Fractional Processes and Fractional-order Signal Processing:   presents fractional processes of fixed, variable and distributed order studied as the output of fractional-order differential systems;   introduces FOSP techniques and the fractional signals and fractional systems point of view;   details real-world-application examples of FOSP techniques to demonstrate their utility; and   provides important background material on Mittag–Leffler functions, the use of numerical inverse Laplace transform algorithms and supporting MATLAB® codes together with a helpful survey of relevant webpages. Readers will be able to use the techniques presented to re-examine their signals and signal-processing methods. This text offers an extended toolbox for complex signals from diverse fields in science and engineering. It will give academic researchers and practitioners a novel insight into the complex random signals characterized by fractional properties, and some powerful tools to analyze those signals.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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 (local and long memory), are introduced and examined from the ‘fractional’ perspective using simulation, fractional-order modeling and filtering and realization of fractional-order systems. These fractional-order signal processing (FOSP) techniques are based on fractional calculus, the fractional Fourier transform and fractional lower-order moments. Fractional Processes and Fractional-order Signal Processing:   presents fractional processes of fixed, variable and distributed order studied as the output of fractional-order differential systems;   introduces FOSP techniques and the fractional signals and fractional systems point of view;   details real-world-application examples of FOSP techniques to demonstrate their utility; and   provides important background material on Mittag–Leffler functions, the use of numerical inverse Laplace transform algorithms and supporting MATLAB® codes together with a helpful survey of relevant webpages. Readers will be able to use the techniques presented to re-examine their signals and signal-processing methods. This text offers an extended toolbox for complex signals from diverse fields in science and engineering. It will give academic researchers and practitioners a novel insight into the complex random signals characterized by fractional properties, and some powerful tools to analyze those signals.

More books from Springer London

Cover of the book Reactive Power Management of Power Networks with Wind Generation by Hu Sheng, YangQuan Chen, TianShuang Qiu
Cover of the book Disaster Medicine by Hu Sheng, YangQuan Chen, TianShuang Qiu
Cover of the book Informatics and Management Science III by Hu Sheng, YangQuan Chen, TianShuang Qiu
Cover of the book Model-Based Development and Evolution of Information Systems by Hu Sheng, YangQuan Chen, TianShuang Qiu
Cover of the book Foundational Java by Hu Sheng, YangQuan Chen, TianShuang Qiu
Cover of the book General Practitioner Education by Hu Sheng, YangQuan Chen, TianShuang Qiu
Cover of the book Treatment of Multiple Sclerosis by Hu Sheng, YangQuan Chen, TianShuang Qiu
Cover of the book Tools for Computational Finance by Hu Sheng, YangQuan Chen, TianShuang Qiu
Cover of the book Computer Vision Using Local Binary Patterns by Hu Sheng, YangQuan Chen, TianShuang Qiu
Cover of the book Partial Differential Equations for Geometric Design by Hu Sheng, YangQuan Chen, TianShuang Qiu
Cover of the book Software Design – Cognitive Aspect by Hu Sheng, YangQuan Chen, TianShuang Qiu
Cover of the book Computational Models for Neuroscience by Hu Sheng, YangQuan Chen, TianShuang Qiu
Cover of the book Safety of VVER-440 Reactors by Hu Sheng, YangQuan Chen, TianShuang Qiu
Cover of the book Energy Systems in the Era of Energy Vectors by Hu Sheng, YangQuan Chen, TianShuang Qiu
Cover of the book Patterns, Programming and Everything by Hu Sheng, YangQuan Chen, TianShuang Qiu
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy