Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	August 2016
Genre:	Naturwissensch., Medizin, Technik
	Applications of Mathematics / Applied mathematics / B / Computer Vision / Digital and Analog Signal Processing / engineering / Image processing / Image Processing and Computer Vision / Information and Communication, Circuits / Information theory / Optical data processing / Signal Processing / Signal, Image and Speech Processing / Speech processing systems mehr...
ISBN:	9781447169246
EAN-Code:	9781447169246
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	Signals and Communication Technology
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	670 gr
Seiten:	295
Illustration:	XXVI, 295 p.
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.