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000824434 019__ $$a1011008222$$a1017777743$$a1032282739
000824434 020__ $$a9783319690698$$q(electronic book)
000824434 020__ $$a3319690698$$q(electronic book)
000824434 020__ $$z9783319690681
000824434 020__ $$z331969068X
000824434 0247_ $$a10.1007/978-3-319-69069-8$$2doi
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000824434 035__ $$aSP(OCoLC)1011166524$$z(OCoLC)1011008222$$z(OCoLC)1017777743$$z(OCoLC)1032282739
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000824434 049__ $$aISEA
000824434 050_4 $$aQA76.9.A25
000824434 08204 $$a005.8/24$$223
000824434 1001_ $$aThanki, Rohit,$$eauthor.
000824434 24510 $$aAdvance compression and watermarking technique for speech signals /$$cRohit Thanki, Komal Borisagar, Surekha Borra.
000824434 264_1 $$aCham :$$bSpringer,$$c[2018]
000824434 264_4 $$c©2018
000824434 300__ $$a1 online resource (82 pages).
000824434 336__ $$atext$$btxt$$2rdacontent
000824434 337__ $$acomputer$$bc$$2rdamedia
000824434 338__ $$aonline resource$$bcr$$2rdacarrier
000824434 347__ $$atext file$$bPDF$$2rda
000824434 4901_ $$aSpringerBriefs in electrical and computer engineering, Speech technology
000824434 504__ $$aIncludes bibliographical references.
000824434 506__ $$aAccess limited to authorized users.
000824434 520__ $$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).
000824434 588__ $$aOnline resource; title from PDF title page (viewed November 22, 2017).
000824434 650_0 $$aDigital watermarking.
000824434 650_0 $$aSpeech processing systems.
000824434 7001_ $$aBorisagar, Komal,$$eauthor.
000824434 7001_ $$aBorra, Surekha,$$eauthor.
000824434 77608 $$iPrint version: $$z9783319690681
000824434 830_0 $$aSpringerBriefs in electrical and computer engineering.$$pSpeech technology.
000824434 852__ $$bebk
000824434 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-69069-8$$zOnline Access$$91397441.1
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000824434 980__ $$aBIB
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000824434 983__ $$aOnline
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