LEADER 04267nam 22007335 450 001 9910299689503321 005 20250609111512.0 010 $a3-319-14800-1 024 7 $a10.1007/978-3-319-14800-7 035 $a(CKB)3710000000379591 035 $a(EBL)2095424 035 $a(SSID)ssj0001465345 035 $a(PQKBManifestationID)11820942 035 $a(PQKBTitleCode)TC0001465345 035 $a(PQKBWorkID)11471816 035 $a(PQKB)11726352 035 $a(DE-He213)978-3-319-14800-7 035 $a(MiAaPQ)EBC2095424 035 $a(PPN)184890586 035 $a(MiAaPQ)EBC3109188 035 $a(EXLCZ)993710000000379591 100 $a20150330d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAdvances in Audio Watermarking Based on Singular Value Decomposition /$fby Pranab Kumar Dhar, Tetsuya Shimamura 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (75 p.) 225 1 $aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,$x2191-737X 300 $aDescription based upon print version of record. 311 08$a3-319-14799-4 320 $aIncludes bibliographical references. 327 $aIntroduction -- Background Information -- DWT-DCT-Based Audio Watermarking Using SVD -- FFT-Based Audio Watermarking Using SVD and CPT -- Conclusions. 330 $aThis book introduces audio watermarking methods for copyright protection, which has drawn extensive attention for securing digital data from unauthorized copying. The book is divided into two parts. First, an audio watermarking method in discrete wavelet transform (DWT) and discrete cosine transform (DCT) domains using singular value decomposition (SVD) and quantization is introduced. This method is robust against various attacks and provides good imperceptible watermarked sounds. Then, an audio watermarking method in fast Fourier transform (FFT) domain using SVD and Cartesian-polar transformation (CPT) is presented. This method has high imperceptibility and high data payload and it provides good robustness against various attacks. These techniques allow media owners to protect copyright and to show authenticity and ownership of their material in a variety of applications.   ·         Features new methods of audio watermarking for copyright protection and ownership protection ·         Outlines techniques that provide superior performance in terms of imperceptibility, robustness, and data payload ·         Includes applications such as data authentication, data indexing, broadcast monitoring, fingerprinting, etc. 410 0$aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,$x2191-737X 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aComputational linguistics 606 $aData encryption (Computer science) 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aComputational Linguistics$3https://scigraph.springernature.com/ontologies/product-market-codes/N22000 606 $aCryptology$3https://scigraph.springernature.com/ontologies/product-market-codes/I28020 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aComputational linguistics. 615 0$aData encryption (Computer science) 615 14$aSignal, Image and Speech Processing. 615 24$aComputational Linguistics. 615 24$aCryptology. 676 $a005.82 700 $aDhar$b Pranab Kumar$4aut$4http://id.loc.gov/vocabulary/relators/aut$0720949 702 $aShimamura$b Tetsuya$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299689503321 996 $aAdvances in Audio Watermarking Based on Singular Value Decomposition$92494871 997 $aUNINA LEADER 01464nam0 22003493i 450 001 MIL0705909 005 20251003044236.0 010 $a0471727881 010 $a9780471727880 100 $a20091209d2006 ||||0itac50 ba 101 | $aeng 102 $aus 181 1$6z01$ai $bxxxe 182 1$6z01$an 200 1 $aAdaptive approximation based control$eunifying neural, fuzzy and traditional adaptive approximation approaches$fJay A. Farrell, Marios M. Polycarpou 210 $aHoboken$cWiley$dc2006 215 $aXVI, 420 p.$d24 cm. 225 | $aWiley series in adaptive and learning systems for signal processing, communication and control 410 0$1001MIL0799793$12001 $aWiley series in adaptive and learning systems for signal processing, communication and control 606 $aSistemi di controllo$2FIR$3CFIC080659$9E 676 $a629.8$9INGEGNERIA DEI CONTROLLI AUTOMATICI$v14 676 $a629.836$9$v22 700 1$aFarrell$b, Jay A.$3MILV235604$4070$0633617 701 1$aPolycarpou$b, Marios M.$3MILV318918$4070$0770684 801 3$aIT$bIT-000000$c20091209 850 $aIT-BN0095 901 $bNAP 01$cSALA DING $n$ 912 $aMIL0705909 950 0$aBiblioteca Centralizzata di Ateneo$c1 v.$d 01SALA DING 629.8 FAR.ad$e 0102 0000061175 VMA A4 1 v.$fY $h20070111$i20070111 977 $a 01 996 $aAdaptive approximation based control$91572617 997 $aUNISANNIO