000 02817cam a2200409 i 4500
001 21769773
003 OSt
005 20221109122013.0
008 170810s2018 sz a||| b |||1 0|eng d
010 _a 2019759186
020 _a9783319574295
_qhardcover (acid-free paper)
020 _z9783319574301
_qebook
024 7 _a10.1007/978-3-319-57430-1
_2doi
035 _a(DE-He213)978-3-319-57430-1
040 _aDLC
_beng
_epn
_erda
_cDLC
_dUOC
072 7 _aTEC008000
_2bisacsh
072 7 _aTTBM
_2bicssc
072 7 _aTTBM
_2thema
072 7 _aUYS
_2thema
082 0 0 _a621.3822
_223
_bGOP
100 1 _aGopi, E. S.
_eauthor.
_9486
245 1 0 _aMulti-Disciplinary Digital Signal Processing :
_bA Functional Approach Using Matlab /
_cby E. S. Gopi.
250 _aFirst Edition.
264 1 _aCham, Switzerland :
_bSpringer International Publishing,
_c[2018].
264 4 _c© Springer International Publishing AG 2018.
300 _axi, 200 pages :
_billustrations ;
_c24 cm.
336 _atext
_btxt
_2rdacontent
337 _2rdamedia
_aunmediated
_bn
338 _2rdacarrier
_avolume
_bnc
500 _aIncludes index.
505 0 _aSampling and Reconstruction of the Signals -- Infinite Impulse Response (IIR) Filter -- Finite Impulse Response Filter (FIR Filter) -- Multi-rate Digital Signal Processing -- Statistical Signal Processing -- Selected Applications in Multidisciplinary Domain.
520 _aThis book provides a comprehensive overview of digital signal processing for a multi-disciplinary audience. It posits that though the theory involved in digital signal processing stems from electrical, electronics, communication, and control engineering, the topic has use in other disciplinary areas like chemical, mechanical, civil, computer science, and management. This book is written about digital signal processing in such a way that it is suitable for a wide ranging audience. Readers should be able to get a grasp of the field, understand the concepts easily, and apply as needed in their own fields. It covers sampling and reconstruction of signals; infinite impulse response filter; finite impulse response filter; multi rate signal processing; statistical signal processing; and applications in multidisciplinary domains. The book takes a functional approach and all techniques are illustrated using Matlab. Presents a multi-disciplinary approach to digital signal processing; Written using a functional approach with all techniques illustrated using Matlab; Pertinent to research scholars, electrical, electronics, computer science, mechanical, civil, and chemical engineers.
588 _aDescription based on publisher-supplied MARC data.
650 0 _9490
_aSignal processing
_xDigital techniques.
906 _a0
_bibc
_corigres
_du
_encip
_f20
_gy-gencatlg
942 _2ddc
_cTEXT BOOK
999 _c522
_d522