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020 _a3319502042
_q(electronic bk.)
020 _a9783319502045
_q(electronic bk.)
020 _z3319502026
020 _z9783319502021
_q(print)
040 _aGW5XE
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_bspa
050 4 _aTK7882.S65
_bB335 2017 EB
100 1 _aBäckström, Tom,
_eautor
245 1 0 _aSpeech coding :
_bcode-excited linear prediction
_cTom Bäckström.
264 1 _aCham, Switzerland
_bSpringer
_c2017.
300 _a1 recurso en línea (xxi, 240 páginas)
_bilustraciones
336 _aTexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _aSignals and communication technology
_x1860-4862
500 _aSpringerLink
_bSpringer Engineering eBooks 2017 English+International
504 _aIncluye referencias bibliográficas e índice
505 0 _aIntroduction -- Usage -- Known Problems -- Implementation.
520 3 _aThis book provides scientific understanding of the most central techniques used in speech coding both for advanced students as well as professionals with a background in speech audio and or digital signal processing. It provides a clear connection between the whys hows and whats thus enabling a clear view of the necessity purpose and solutions provided by various tools as well as their strengths and weaknesses in each respect Equivalently this book sheds light on the following perspectives for each technology presented Objective What do we want to achieve and especially why is this goal important Resource Information What information is available and how can it be useful and Resource Platform What kind of platforms are we working with and what are their capabilities restrictions This includes computational memory and acoustic properties and the transmission capacity of devices used. The book goes on to address Solutions Which solutions have been proposed and how can they be used to reach the stated goals and Strengths and weaknesses In which ways do the solutions fulfill the objectives and where are they insufficient Are resources used efficiently. This book concentrates solely on code excited linear prediction and its derivatives since mainstream speech codecs are based on linear prediction It also concentrates exclusively on time domain techniques because frequency domain tools are to a large extent common with audio codecs.
650 7 _aSistemas de comunicación móviles
_2embne
_0(OCoLC)fst01024207
_0
_9147646
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-50204-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988 _aEBOOK, asignarmaterias, EBSPRINGER_2017C
998 _b02/2018
_dz
_e-
_zSI
999 _c95775
_d95775
_x1