000 02838nam a22004815i 4500
001 978-94-007-0747-4
003 DE-He213
005 20140220083831.0
007 cr nn 008mamaa
008 110601s2011 ne | s |||| 0|eng d
020 _a9789400707474
_9978-94-007-0747-4
024 7 _a10.1007/978-94-007-0747-4
_2doi
050 4 _aTA329-348
050 4 _aTA640-643
072 7 _aTBJ
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a519
_223
100 1 _aOrtigueira, Manuel Duarte.
_eauthor.
245 1 0 _aFractional Calculus for Scientists and Engineers
_h[electronic resource] /
_cby Manuel Duarte Ortigueira.
264 1 _aDordrecht :
_bSpringer Netherlands,
_c2011.
300 _aXIV, 154 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Electrical Engineering,
_x1876-1100 ;
_v84
505 0 _a1. 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 _aIn 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 _aEngineering.
650 0 _aComputer science.
650 0 _aEngineering mathematics.
650 1 4 _aEngineering.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aSignal, Image and Speech Processing.
650 2 4 _aMathematics of Computing.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9789400707467
830 0 _aLecture Notes in Electrical Engineering,
_x1876-1100 ;
_v84
856 4 0 _uhttp://dx.doi.org/10.1007/978-94-007-0747-4
912 _aZDB-2-ENG
999 _c109370
_d109370