000			03339nam a22004335i 4500
999			_c120383 _d120383
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007			cr nn nnnaamaa
008			200416s2020 gw a o |||| 0|eng d
020			_a9783030427467
024	7		_a10.1007/978-3-030-42746-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA403.5 _b2020 EB
100	1		_aKunche, Prajna _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _999101
245	1	0	_aFractional Fourier Transform Techniques for Speech Enhancement / _cPrajna Kunche, N Manikanthababu
250			_aFirst edition
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2020
300			_a1 recurso en línea (VII, 104 páginas) _b34 ilustraciones, 26 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aArchivo de texto _bPDF
490	0		_aSpringerBriefs in Speech Technology Studies in Speech Signal Processing Natural Language Understanding and Machine Learning _x2191-737X
490	0		_aEngineering (Springer-11647)
505	0		_aChapter 1. Introduction -- Chapter 2. Fractional Fourier Transform (FRFT) -- Chapter 3. Dual channel Speech Enhancement based on Fractional Fourier Transform -- Chapter 4. Fractional Cosine Transform based Single Channel Speech Enhancement Technique -- Chapter 5. Fractional Sine Transform based Single Channel Speech Enhancement Technique -- Chapter 6. Summary and Perspectives.
520	3		_aThis book explains speech enhancement in the Fractional Fourier Transform (FRFT) domain and investigates the use of different FRFT algorithms in both single channel and multi-channel enhancement systems, which has proven to be an ideal time frequency analysis tool in many speech signal processing applications. The authors discuss the complexities involved in the highly non- stationary signal processing and the concepts of FRFT for speech enhancement applications. The book explains the fundamentals of FRFT as well as its implementation in speech enhancement. Theories of different FRFT methods are also discussed. The book lets readers understand the new fractional domains to prepare them to develop new algorithms. A comprehensive literature survey regarding the topic is also made available to the reader. Analyzes FRFT techniques in speech enhancement applications; Presents new approaches for speech enhancement using FRFT; Suggests the future directions of research in this emerging area.
988			_aSpringer_Engineering_23062020
650		7	_aFourier, Transformaciones de _2embne _9144675
650		7	_aVoz _xMedición _xProceso de datos _2embne _9675808
700	1		_aManikanthababu, N _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9675809
710	2		_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/148105729
776	0	8	_iPrinted edition: _z9783030427450
776	0	8	_iPrinted edition: _z9783030427474
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-42746-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b09/2020 _dz _eo _zSI