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020 _a9783031015144
024 7 _a10.1007/978-3-031-01514-4
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTK7882.S65
_b2009 EB
100 1 _aRamamurthy, Karthikeyan Natesan
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9686554
245 1 0 _aMATLAB® Software for the Code Excited Linear Prediction Algorithm :
_bThe Federal Standard-1016
_cby Karthikeyan Ramamurthy, Andreas Spanias
250 _a1st edition 2009
264 1 _aCham
_bSpringer International Publishing
_c2009
300 _a1 recurso en línea (IX, 99 páginas)
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aSynthesis Lectures on Algorithms and Software in Engineering
_x1938-1735
505 0 _aIntroduction to Linear Predictive Coding -- Autocorrelation Analysis and Linear Prediction -- Line Spectral Frequency Computation -- Spectral Distortion -- The Codebook Search -- The FS-1016 Decoder.
520 _aThis book describes several modules of the Code Excited Linear Prediction (CELP) algorithm. The authors use the Federal Standard-1016 CELP MATLAB® software to describe in detail several functions and parameter computations associated with analysis-by-synthesis linear prediction. The book begins with a description of the basics of linear prediction followed by an overview of the FS-1016 CELP algorithm. Subsequent chapters describe the various modules of the CELP algorithm in detail. In each chapter, an overall functional description of CELP modules is provided along with detailed illustrations of their MATLAB® implementation. Several code examples and plots are provided to highlight some of the key CELP concepts. Link to MATLAB® code found within the book Table of Contents: Introduction to Linear Predictive Coding / Autocorrelation Analysis and Linear Prediction / Line Spectral Frequency Computation / Spectral Distortion / The Codebook Search / The FS-1016 Decoder.
988 _aSynthesis Collection of Technology_2009
650 7 _2embne
_9147323
_aReconocimiento automático del lenguaje
650 7 _2embne
_9140167
_aLenguaje
_xReconocimiento automático
650 7 _2embne
_9670862
_aPredicción, Teoría de la
700 1 _aSpanias, Andreas
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9686104
776 0 8 _iPrinted edition:
_z9783031003868
776 0 8 _iPrinted edition:
_z9783031026423
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01514-4
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b02/2023
_dz
_eIG
_zSI