Digital audio signal watermarking using minimum‐energy scaling optimisation in the wavelet domain-Reference-Cited by-同舟云学术

Digital audio signal watermarking using minimum‐energy scaling optimisation in the wavelet domain

Published:2020-12 Issue:10 Volume:14 Page:791-802
ISSN:1751-9675
Container-title:IET Signal Processing
language:en
Short-container-title:IET signal process.

Author:

Hsu Chih‐Yu¹,Tu Shu‐Yi²,Yang Chao‐Tung³⁴⁵,Chang Ching‐Lung⁶,Chen Shuo‐Tsung⁶

Affiliation:

1. Fujian Provincial Key Laboratory of Big Data Mining and ApplicationsSchool of Computer Science and Mathematics, Fujian University of TechnologyFuzhouPeople's Republic of China

2. Department of MathematicsUniversity of MichiganFlintMI48502USA

3. Department of Computer ScienceTunghai UniversityTaichung40704Taiwan

4. Research Center for Smart Sustainable Circular EconomyTunghai UniversityTaichung City407224Taiwan

5. Research Center for NanotechnologyTunghai UniversityTaichung City407224Taiwan

6. Department of Computer Science and Information EngineeringNational Yunlin University of Science and TechnologyYunlin64002Taiwan

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-spr.2020.0220

Reference32 articles.

1. IFPI (International Federation of the Phonographic Industry): Available athttp://www.ifpi.org

2. Energy‐proportion based scheme for audio watermarking;Chen S.‐T.;IET Signal Process.,2010

3. Wavelet‐domain audio watermarking scheme using optimization‐based quantization;Chen S.‐T.;IET Signal Process.,2010

4. Robust audio watermarking against the D/A and A/D conversions;Xiang S.;EURASIP J. Adv. Signal Process.,2011

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