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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Introduction,xample of a uniform synthetic high-molecular-weight sulfonic acid. Early work focused on the inverted micelles formed by DNNSA and its salts in nonpolar solvents, and it was soon found that certain salts of the acid are effective oil-soluble corrosion inhibitors. DNNSA has been employed in many publ

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LWT-Based Audio Watermarking Using FWHT and SVD,nd Applied Aspects" organized under the auspices of the 11th Northeast Regional Meeting of the American Chemical Soci­ ety held in Potsdam, N. Y. , June 30-July 3, 1980. This Symposium re­ presented the third event in the series of symposia dealing with the topic of surfactants in solution. The firs

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2191-737X ecryption that provide excellent performance in terms of impThis 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 wavel

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https://doi.org/10.1057/9780230627338 protection of multimedia data. Digital watermarking is a process of embedding watermark into the audio data to show authenticity and ownership [1, 2]. This technique has several applications such as copyright protection, data authentication, data indexing, broadcast monitoring, and so on.

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Book 2019plication 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 metho

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Advances in Audio Watermarking Based on Matrix Decomposition