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020 _a9783319690698
024 7 _a10.1007/978-3-319-69069-8
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA76.9.A25
_bT436 2018 EB
100 1 _aThanki, Rohit
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_1http://viaf.org/viaf/306487733/
245 1 0 _aAdvance Compression and Watermarking Technique for Speech Signals
_cby Rohit Thanki, Komal Borisagar, Surekha Borra.
264 1 _aCham
_bSpringer International Publishing
_c2018
300 _a1 recurso en línea (XVIII, 69 páginas 38 ilustraciones, 28 ilustraciones a color)
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_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)
520 3 _aThis book introduces methods for copyright protection and compression for speech signals. The first method introduces copyright protection of speech signal using watermarking; the second introduces compression of the speech signal using Compressive Sensing (CS). Both methods are tested and analyzed. The speech watermarking method uses technology such as Finite Ridgelet Transform (FRT), Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD). The performance of the method is evaluated and compared with existing watermarking methods. In the speech compression method, the standard Compressive Sensing (CS) process is used for compression of the speech signal. The performance of the proposed method is evaluated using various transform bases like Discrete Fourier Transform (DFT), Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), Singular Value Decomposition (SVD), and Fast Discrete Curvelet Transform (FDCuT).
988 _aEBSPRINGER_2018
650 7 _aSeguridad informática
_2embne
_9158200
650 7 _aFiligranas digitales
_2embne
_9667787
700 1 _aBorisagar, Komal
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aBorra, Surekha
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_0http://id.loc.gov/authorities/names/n2018184306
_1http://viaf.org/viaf/72152682492923310399/
776 0 8 _iEdición impresa:
_z9783319690681
776 0 8 _iEdición impresa:
_z9783319690704
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-69069-8
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b03/2019
_dz
_ek
_feng
_ggw
_h0