000 03480nam a22004935i 4500
001 978-3-642-23117-9
003 DE-He213
005 20140220083300.0
007 cr nn 008mamaa
008 110913s2012 gw | s |||| 0|eng d
020 _a9783642231179
_9978-3-642-23117-9
024 7 _a10.1007/978-3-642-23117-9
_2doi
050 4 _aTA329-348
050 4 _aTA640-643
072 7 _aTBJ
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a519
_223
100 1 _aDas, Saptarshi.
_eauthor.
245 1 0 _aFractional Order Signal Processing
_h[electronic resource] :
_bIntroductory Concepts and Applications /
_cby Saptarshi Das, Indranil Pan.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2012.
300 _aXIII, 101p. 6 illus., 5 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Applied Sciences and Technology,
_x2191-530X
505 0 _aIntroduction -- Basics of Fractional Order Signals and Systems -- Long Range Dependence, Stable Distributions and Self-similarity -- Fractional Order Integral Transforms -- Fractional Order System Identification -- Fractional Order Statistical Signal Processing --  MATLAB Based Simulation Tools.
520 _aThe book tries to briefly introduce the diverse literatures in the field of fractional order signal processing which is becoming an emerging topic among an interdisciplinary community of researchers. This book is aimed at postgraduate and beginning level research scholars who would like to work in the field of Fractional Order Signal processing (FOSP). The readers should have preliminary knowledge about basic signal processing techniques. Prerequisite knowledge of fractional calculus is not essential and is exposited at relevant places in connection to the appropriate signal processing topics. Basic signal processing techniques like filtering, estimation, system identification, etc. in the light of fractional order calculus are presented along with relevant application areas. The readers can easily extend these concepts to varied disciplines like image or speech processing, pattern recognition, time series forecasting, financial data analysis and modeling, traffic modeling in communication channels, optics, biomedical signal processing, electrochemical applications and many more. Adequate references are provided in each category so that the researchers can delve deeper into each area and broaden their horizon of understanding. Available MATLAB tools to simulate FOSP theories are also introduced so that the readers can apply the theoretical concepts right-away and gain practical insight in the specific domain.
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 _aComputational Science and Engineering.
700 1 _aPan, Indranil.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642231162
830 0 _aSpringerBriefs in Applied Sciences and Technology,
_x2191-530X
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-23117-9
912 _aZDB-2-ENG
999 _c102128
_d102128