LEADER 01720nam0 22003973i 450 001 UBO1568121 005 20231121125856.0 020 $aIT$b80-1619 100 $a20120519d1978 ||||0itac50 ba 101 | $aita$cita 102 $ait 181 1$6z01$ai $bxxxe 182 1$6z01$an 200 1 $a˜L'œopera completa di Liotard$fintrodotta e coordinata da Renée Loche e Marcel Roethlisberger 210 $aMilano$cRizzoli$d1978 215 $a128 p., LXIV carte di tav.$cill.$d32 cm 225 | $aClassici dell'arte$v96$i. N. S$v16 312 $aTit. dell'occhietto: ˜L'œopera completa di Jean-Etienne Liotard$9MIL0342696 410 0$1001CFI0463932$12001 $aClassici dell'arte$i. N. S$v16 500 10$a˜L'œopera completa di Liotard$3LIG0248917$9RAVV024969$9266919 517 1 $a˜L'œopera completa di Jean-Etienne Liotard$9MIL0342696 606 $aLiotard, Jean Etienne$xOpere$2FIR$3RMLC382097$9I 676 $a759.9494$9$v21 700 1$aLiotard$b, Jean-Ètienne$3RAVV024969$4070$0400894 702 1$aLoche$b, Renée$3RAVV024971 702 1$aRoethlisberger$b, Marcel$3RAVV024972 801 3$aIT$bIT-01$c20120519 850 $aIT-RM0289 $aIT-FR0084 $aIT-FR0017 899 $aBiblioteca Statale A. Baldini$bRM0289 899 $aBiblioteca Del Monumento Nazionale Di Montecassino$bFR0084 899 $aBiblioteca umanistica Giorgio Aprea$bFR0017 912 $aUBO1568121 950 0$aBiblioteca umanistica Giorgio Aprea$d 52MAG 3 Coll L 96$e 52FLS0000018305 VMB RS $fA $h20200623$i20200623 977 $a 04$a 25$a 52 996 $aOpera completa di Liotard$9266919 997 $aUNICAS LEADER 03952nam 22006015 450 001 9910337617203321 005 20200701150212.0 010 $a3-030-15726-1 024 7 $a10.1007/978-3-030-15726-5 035 $a(CKB)4100000007992417 035 $a(MiAaPQ)EBC5759452 035 $a(DE-He213)978-3-030-15726-5 035 $a(PPN)235669504 035 $a(EXLCZ)994100000007992417 100 $a20190423d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Audio Watermarking Based on Matrix Decomposition /$fby Pranab Kumar Dhar, Tetsuya Shimamura 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (62 pages) 225 1 $aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,$x2191-737X 311 $a3-030-15725-3 327 $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. 330 $aThis book introduces audio watermarking methods in transform domain based on matrix decomposition for copyright protection. Chapter 1 discusses the application and properties of digital watermarking. Chapter 2 proposes a blind lifting wavelet transform (LWT) based watermarking method using fast Walsh Hadamard transform (FWHT) and singular value decomposition (SVD) for audio copyright protection. Chapter 3 presents a blind audio watermarking method based on LWT and QR decomposition (QRD) for audio copyright protection. Chapter 4 introduces an audio watermarking algorithm based on FWHT and LU decomposition (LUD). Chapter 5 proposes an audio watermarking method based on LWT and Schur decomposition (SD). Chapter 6 explains in details on the challenges and future trends of audio watermarking in various application areas. Introduces audio watermarking methods for copyright protection and ownership protection; Describes watermarking methods with encryption and decryption that provide excellent performance in terms of imperceptibility, robustness, and data payload; Discusses in details on the challenges and future research direction of audio watermarking in various application areas. 410 0$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 $aAlgorithms 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 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aComputational linguistics. 615 0$aAlgorithms. 615 14$aSignal, Image and Speech Processing. 615 24$aComputational Linguistics. 615 24$aAlgorithm Analysis and Problem Complexity. 676 $a676.28027 676 $a005.8 700 $aDhar$b Pranab Kumar$4aut$4http://id.loc.gov/vocabulary/relators/aut$0720949 702 $aShimamura$b Tetsuya$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910337617203321 996 $aAdvances in Audio Watermarking Based on Matrix Decomposition$91930046 997 $aUNINA