000			02720cam a2200373Ii 4500
001			96167
003			ES-MaUEC
005			20230102112741.0
006			m o d
007			cr cnu|||unuuu
008			170614s2017 sz a ob 001 0 eng d
020			_a3319536133 _q(electronic bk.)
020			_a9783319536132 _q(electronic bk.)
020			_z3319536117
020			_z9783319536118
040			_aN$T _cN$T _dN$T _dOCLCO _dGW5XE _dEBLCP _dYDX _dOCLCF _dUAB _dAZU _dUPM _dMERER _dESU _dOCLCQ _dCOO _dOCLCQ _dIOG _dES-MaUEC _bspa
050		4	_aTK7882.S65 _bK683 2017 EB
100	1		_aKovacevic, Branko _996927
245	1	0	_aRobust digital processing of speech signals _cBranko Kovačević [and three others].
264		1	_aCham _bSpringer _c2017.
300			_a1 recurso en línea _bilustraciones (algunas a color)
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF
500			_aSpringerLink _bSpringer Engineering eBooks 2017 English+International
504			_aIncluye referencias bibliográficas e índice
505	0		_aModelling of Speech Signal -- Review of Standard Methods -- Fundamentals of Robust Parameter Estimation -- Robust Nonrecursive AR Analysis of Speech Signals -- Robust Recursive AR Analysis of Speech Signals -- Robust Estimation Based on Pattern Recognition -- Application of Robust Estimators in Speech Signal Processing.
520	3		_aThis book focuses on speech signal phenomena, presenting a robustification of the usual speech generation models with regard to the presumed types of excitation signals, which is equivalent to the introduction of a class of nonlinear models and the corresponding criterion functions for parameter estimation. Compared to the general class of nonlinear models, such as various neural networks, these models possess good properties of controlled complexity, the option of working in "online" mode, as well as a low information volume for efficient speech encoding and transmission. Providing comprehensive insights, the book is based on the authors' research, which has already been published, supplemented by additional texts discussing general considerations of speech modeling, linear predictive analysis and robust parameter estimation.
650		7	_aCódigos correctores de errores (Teoría de la información) _2embne _0(OCoLC)fst00915036 _0 _9147136
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-53613-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017D
998			_b02/2018 _dz _e- _zSI
999			_c96167 _d96167 _x1