Fractional Processes and Fractional-Order Signal Processing
Author | : Hu Sheng |
Publisher | : Springer Science & Business Media |
Total Pages | : 310 |
Release | : 2011-10-20 |
ISBN-10 | : 9781447122333 |
ISBN-13 | : 144712233X |
Rating | : 4/5 (33 Downloads) |
Download or read book Fractional Processes and Fractional-Order Signal Processing written by Hu Sheng and published by Springer Science & Business Media. This book was released on 2011-10-20 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.