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Volumn 1, Issue , 2008, Pages 11-16

Hybrid audio watermarking with spread spectrum and singular value decomposition

Author keywords

Digital component (DC); Fast fourier transform (FFT); Human auditory system (HAS).; Signal to noise ratio (SNR); Singular value decomposition (SVD); Spread spectrum (SS)

Indexed keywords

DIGITAL COMPONENT (DC); HUMAN AUDITORY SYSTEM (HAS).; SIGNAL TO NOISE RATIO (SNR); SINGULAR VALUE DECOMPOSITION (SVD); SPREAD SPECTRUM (SS);

EID: 63049094203     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INDCON.2008.4768793     Document Type: Conference Paper
Times cited : (4)

References (7)
  • 4
    • 63049097691 scopus 로고    scopus 로고
    • Bhatt Krutarth, Multiple Watermarking Schemes for Copyright Protection, M. Tech. Thesis, DA-IICT, Gandhinagar, Gujarat, May 2005.
    • Bhatt Krutarth, "Multiple Watermarking Schemes for Copyright Protection", M. Tech. Thesis, DA-IICT, Gandhinagar, Gujarat, May 2005.
  • 5
    • 63049100403 scopus 로고    scopus 로고
    • Audio Watermarking
    • BBC R & D While Paper, August
    • R. Walker, "Audio Watermarking", BBC R & D While Paper, August 2004.
    • (2004)
    • Walker, R.1
  • 6
    • 84957877979 scopus 로고    scopus 로고
    • Attacks on Copyright Marking Systems
    • Portland, Oregon, USA, 14-17 April
    • Changsheng Xu, Jiankang Wu, Qibin Sun, "Attacks on Copyright Marking Systems", Lecture Notes in Computer Science,in vol. 1525, Portland, Oregon, USA, 14-17 April, 1998..
    • (1998) Lecture Notes in Computer Science,in , vol.1525
    • Xu, C.1    Wu, J.2    Sun, Q.3
  • 7
    • 33646732028 scopus 로고    scopus 로고
    • A Hybrid Approach to Digital Image Watermarking Using Singular Value Decomposition and Spread Spectrum
    • Kunal Bhandari, Suman K. Mitra, Ashish Jadhav, "A Hybrid Approach to Digital Image Watermarking Using Singular Value Decomposition and Spread Spectrum". PReMI 2005: 447-452
    • (2005) PReMI , pp. 447-452
    • Bhandari, K.1    Mitra, S.K.2    Jadhav, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.