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Titlebook: Advances in Audio Watermarking Based on Matrix Decomposition; Pranab Kumar Dhar,Tetsuya Shimamura Book 2019 The Author(s), under exclusive

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期刊全稱Advances in Audio Watermarking Based on Matrix Decomposition
影響因子2023Pranab Kumar Dhar,Tetsuya Shimamura
視頻videohttp://file.papertrans.cn/147/146811/146811.mp4
發(fā)行地址Introduces audio watermarking methods for copyright protection and ownership protection.Describes watermarking methods with encryption and decryption that provide excellent performance in terms of imp
學(xué)科分類SpringerBriefs in Speech Technology
圖書封面Titlebook: Advances in Audio Watermarking Based on Matrix Decomposition;  Pranab Kumar Dhar,Tetsuya Shimamura Book 2019 The Author(s), under exclusive
影響因子This 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..
Pindex Book 2019
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The Search for Security, 1919–1920marking method based on LWT, SD, and quantization jointly. Initially, the watermark data are preprocessed to enhance the confidentiality of the proposed method. Then, the original audio is segmented into nonoverlapping frames and LWT is applied to each frame. SD is applied to the selected low-freque
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Indian Policy and the Oil QuestionThis chapter concludes this book with a brief summary of our research work. Future research work is also discussed in this chapter.
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Advances in Audio Watermarking Based on Matrix Decomposition978-3-030-15726-5Series ISSN 2191-737X Series E-ISSN 2191-7388
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Pranab Kumar Dhar,Tetsuya ShimamuraIntroduces audio watermarking methods for copyright protection and ownership protection.Describes watermarking methods with encryption and decryption that provide excellent performance in terms of imp
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SpringerBriefs in Speech Technologyhttp://image.papertrans.cn/a/image/146811.jpg
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