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710	2		_aSpringerLink (Online service) _9106996
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020			_a9783030157265
024	7		_a10.1007/978-3-030-15726-5 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aQA76.9.A25 _b2019 EB
100	1		_aDhar, Pranab Kumar _eautor _9671147
245	1	0	_aAdvances in Audio Watermarking Based on Matrix Decomposition _cby Pranab Kumar Dhar, Tetsuya Shimamura.
264		1	_aCham _bImprint: Springer _c2019
300			_a1 recurso en línea (XI, 56 páginas) _b25 ilustraciones, 16 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aEngineering (Springer-11647)
490	0		_aSpringerBriefs in Speech Technology Studies in Speech Signal Processing Natural Language Understanding and Machine Learning _x2191-737X
505	0		_aChapter1: Introduction -- Chapter2: LWT-Based Audio Watermarking Using FWHT and SVD -- Chapter3: Audio Watermarking Based on LWT and QRD -- Chapter4: Audio Watermarking Based on FWHT and LUD -- Chapter5: Audio Watermarking Based on LWT and SD -- Chapter6: Conclusions and Future Work.
520	3		_aThis book introduces audio watermarking methods in transform domain based on matrix decomposition for copyright protection. Chapter 1 discusses the application and properties of digital watermarking. Chapter 2 proposes a blind lifting wavelet transform (LWT) based watermarking method using fast Walsh Hadamard transform (FWHT) and singular value decomposition (SVD) for audio copyright protection. Chapter 3 presents a blind audio watermarking method based on LWT and QR decomposition (QRD) for audio copyright protection. Chapter 4 introduces an audio watermarking algorithm based on FWHT and LU decomposition (LUD). Chapter 5 proposes an audio watermarking method based on LWT and Schur decomposition (SD). Chapter 6 explains in details on the challenges and future trends of audio watermarking in various application areas. Introduces audio watermarking methods for copyright protection and ownership protection; Describes watermarking methods with encryption and decryption that provide excellent performance in terms of imperceptibility, robustness, and data payload; Discusses in details on the challenges and future research direction of audio watermarking in various application areas.
650		7	_2embne _aFiligranas digitales _9667787
650		7	_2embne _9666075 _aLingüística computacional
700	1		_aShimamura, Tetsuya. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iPrinted edition: _z9783030157258
776	0	8	_iPrinted edition: _z9783030157272
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-15726-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aPrimersemestre_2019_Engineering
998			_aSI _cm _dz _feng _ggw _h0 _b10/2019 _ek _zSI